WO2007028690A1 - Allocating resources in an autonomic sensor network ecosystem - Google Patents

Allocating resources in an autonomic sensor network ecosystem Download PDF

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Publication number
WO2007028690A1
WO2007028690A1 PCT/EP2006/065251 EP2006065251W WO2007028690A1 WO 2007028690 A1 WO2007028690 A1 WO 2007028690A1 EP 2006065251 W EP2006065251 W EP 2006065251W WO 2007028690 A1 WO2007028690 A1 WO 2007028690A1
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Prior art keywords
sensor network
micro grid
sensor
gateway
gateways
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PCT/EP2006/065251
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French (fr)
Inventor
Riz Amanuddin
Jonghae Kim
Moon Ju Kim
Eric Teck Choy Yee
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International Business Machines Corporation
Ibm United Kingdom Limited
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Application filed by International Business Machines Corporation, Ibm United Kingdom Limited filed Critical International Business Machines Corporation
Priority to JP2008529580A priority Critical patent/JP4939538B2/en
Priority to CN2006800323463A priority patent/CN101258530B/en
Publication of WO2007028690A1 publication Critical patent/WO2007028690A1/en

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L43/00Arrangements for monitoring or testing data switching networks
    • H04L43/08Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
    • H04L43/0805Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
    • H04L43/0817Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/12Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1044Group management mechanisms 
    • H04L67/1046Joining mechanisms
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1059Inter-group management mechanisms, e.g. splitting, merging or interconnection of groups
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1061Peer-to-peer [P2P] networks using node-based peer discovery mechanisms
    • H04L67/1068Discovery involving direct consultation or announcement among potential requesting and potential source peers
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/104Peer-to-peer [P2P] networks
    • H04L67/1087Peer-to-peer [P2P] networks using cross-functional networking aspects
    • H04L67/1093Some peer nodes performing special functions
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W72/00Local resource management
    • H04W72/04Wireless resource allocation
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W74/00Wireless channel access, e.g. scheduled or random access
    • H04W74/04Scheduled or contention-free access
    • H04W74/06Scheduled or contention-free access using polling
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W88/00Devices specially adapted for wireless communication networks, e.g. terminals, base stations or access point devices
    • H04W88/16Gateway arrangements

Definitions

  • the present invention generally relates to an autonomic sensor network ecosystem. Specifically, the present invention relates to a method, system and program product for deploying resources, allocating resources and addressing threats in the autonomic sensor network ecosystem.
  • U.S. Patent Application No 10/856,684 avoids data loss by providing a wireless sensor network in which a plurality of peers/motes/nodes are interconnected (e.g., on a peer-to-peer basis) .
  • the data set is broken up into data components, which are then stored among the nodes. Storage of the data components typically occurs by following a routing path through the network according to a routing table or the like. As the path is followed, the data components are stored among the nodes.
  • Other examples of sensor based detection systems are described in US Patent No. 6,169,476 Bl, and US Patent No 6,293,861 Bl.
  • a sensor network comprising a plurality of peer-to-peer nodes.
  • Each node in the network includes, among other things, a sensor for detecting environmental factors.
  • the node will query its neighboring nodes to determine whether they have the capability to store any data component (s) currently stored within the potentially failing node. Based on the querying, the data component (s) in the potentially failing node are copied to one or more of the neighboring nodes. Thereafter, details of the copying can be broadcast to other nodes in the network, and any routing tables that identify the locations of data components stored throughout the sensor network can be updated.
  • an autonomic sensor network ecosystem includes: (1) a set (e.g., one or more) of sensor networks for storing data components; (2) a set of sensor collector information gateways in communication with the sensor networks; and (3) a set of enterprise gateways and storage hubs (hereinafter referred to as enterprise gateways) in communication with the micro grid gateway.
  • the present invention provides a method, system and program product for deploying and allocating resources, and addressing threats in an autonomic sensor network ecosystem.
  • the autonomic sensor network ecosystem includes a set (e.g., one or more) of sensor networks each having a set of sensor peers and at least one super peer; a set of micro grid gateways; and a set of enterprise gateways.
  • Each micro grid gateway is typically adapted to receive requests from a sensor network, an enterprise gateway, and/or another micro grid gateway.
  • each micro grid gateway includes a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.
  • a first aspect of the present invention provides an autonomic sensor network ecosystem, comprising: a set of sensor networks each comprising a set of sensor peers and at least one super peer; a set of micro grid gateways in communication with the set of sensor networks; and a set of enterprise gateways in communication with the set of micro grid gateways, wherein the set of micro grid gateways are adapted to receive and route requests from the set of sensor networks and the set of enterprise gateways .
  • a second aspect of the present invention provides a computer-implemented method for allocating resources in an autonomic sensor network ecosystem, comprising: receiving a request for resources on a first micro grid gateway from a first sensor network, wherein the first sensor network includes a set of sensor peers and at least one super peer; polling a second sensor network based on the request to determine available resources in the second sensor network; and allocating resources from the second sensor network to the first sensor network based on a response to the polling.
  • a third aspect of the present invention provides a computer-implemented method for addressing threats in an autonomic sensor network ecosystem, comprising: detecting a threat in a sensor network of the autonomic sensor network ecosystem, wherein the sensor network includes a set of sensor peers and at least one super peer; communicating a request corresponding to the threat to an enterprise gateway of the autonomic sensor network that is in communication with the sensor network; and determining available resources for at least one other sensor network to address the threat based on the request.
  • a fourth aspect of the present invention provides a program product stored on a computer readable medium for allocating and deploying resources in an autonomic sensor network ecosystem, the computer readable medium comprising program code for causing a computer system to perform the following steps: receiving requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queuing the requests; scheduling the requests for communication between the sensor network and the enterprise gateway; monitoring the sensor network; and allocating resources based on the monitoring.
  • a fifth aspect of the present invention provides a method for deploying an application for allocating and deploying resources in an autonomic sensor network ecosystem, comprising: providing a computer infrastructure being operable to: receive requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queue the requests; schedule the requests for communication between the sensor network and the enterprise gateway; monitor the sensor network; and allocate resources based on the monitoring.
  • a sixth aspect of the present invention provides computer software embodied in a propagated signal for allocating and deploying an autonomic sensor network ecosystem, the computer software comprising instructions for causing a computer system to perform the following functions: receive requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queue the requests; schedule the requests for communication between the sensor network and the enterprise gateway; and monitor the sensor network and allocating resources based on the monitoring.
  • an autonomic sensor network ecosystem comprising: a set of sensor networks each comprising a set of sensor peers and at least one super peer; a set of micro grid gateways in communication with the set of sensor networks; and a set of enterprise gateways in communication with the set of micro grid gateways, wherein the set of micro grid gateways are adapted to receive and route requests from the set of sensor networks and the set of enterprise gateways.
  • the present invention provides an autonomic sensor network ecosystem, wherein each of the set of micro grid gateways comprises: a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.
  • the present invention provides an autonomic sensor network ecosystem, wherein the resource manager monitors a resource state, an attribute lifecycle, and events for the set of sensor networks.
  • the present invention provides an autonomic sensor network ecosystem wherein the set of micro grid gateways receive requests from the set of sensor networks and forward the requests to the set of enterprise gateways.
  • the present invention provides an autonomic sensor network ecosystem as claimed wherein the set of micro grid gateways receive requests from the set of enterprise gateways and forward the requests to the set of sensor networks.
  • the present invention provides autonomic sensor network ecosystem, wherein the set of enterprise gateways communicate directly with the set of sensor networks .
  • the present invention provides an autonomic sensor network ecosystem wherein each of the set of enterprise gateways comprises a cluster of components that determines actions to be taken with respect to the set of sensor networks .
  • the present invention provides an autonomic sensor network ecosystem wherein the set of micro grid gateways poll the set of sensor networks for available resources.
  • the present invention provides an autonomic sensor network ecosystem wherein the set of sensor networks comprises a plurality of sensor peers, wherein the set of micro grid gateways comprises a plurality of micro grid gateways, and wherein the set of enterprise gateways comprises a plurality of enterprise gateways.
  • the present invention provides an autonomic sensor network ecosystem wherein the set of sensor peers and at least one super peer broadcast to one another, and wherein the at least one super peer creates a table of peer information based on the broadcast.
  • the present invention provides an autonomic sensor network ecosystem wherein the set of micro grid gateways broadcast to one another, and wherein the set of micro grid gateways create a table of gateway information based on the broadcast.
  • a computer-implemented method for allocating resources in an autonomic sensor network ecosystem comprising: receiving a request for resources on a first micro grid gateway from a first sensor network, wherein the first sensor network includes a set of sensor peers and at least one super peer; polling a second sensor network based on the request to determine available resources in the second sensor network; and allocating resources from the second sensor network to the first sensor network based on a response to the polling.
  • the present invention provides computer-implemented method further comprising communicating the request to an enterprise gateway from the first micro grid gateway prior to the polling step, wherein the polling is conducted from the enterprise gateway, and wherein the response is received on the enterprise gateway and is communicated to the first micro grid gateway.
  • the present invention provides a computer-implemented method further comprising communicating the request from the first micro grid gateway to a second micro grid gateway prior to the polling step, wherein the polling is conducted from second micro grid gateway, and wherein the response is received on the second micro grid gateway and is communicated to the first micro grid gateway.
  • the present invention provides a computer-implemented method, further comprising updating an enterprise table that contains sensor network statuses based on the allocating.
  • the present invention provides a computer-implemented method for addressing threats in an autonomic sensor network ecosystem, comprising: detecting a threat in a sensor network of the autonomic sensor network ecosystem, wherein the sensor network includes a set of sensor peers and at least one super peer; communicating a request corresponding to the threat to an enterprise gateway of the autonomic sensor network that is in communication with the sensor network; and determining available resources for at least one other sensor network to address the threat based on the request.
  • the present invention provides a computer-implemented method, further comprising receiving the request on a micro grid gateway from the sensor network, wherein the communicating step comprises communicating the request from the micro grid gateway to the enterprise gateway.
  • the present invention provides a computer-implemented method, wherein the determining step comprises polling the at least one other sensor network for the available resources, and wherein the method further comprises: receiving a response from each of the at least one other sensor networks on the enterprise gateway; and allocating resources away from the sensor network to address the threat based on the response.
  • the present invention provides a program product stored on a computer readable medium for allocating and deploying resources in an autonomic sensor network ecosystem, the computer readable medium comprising program code for causing a computer system to perform the following steps: receiving requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queuing the requests; scheduling the requests for communication between the sensor network and the enterprise gateway; monitoring the sensor network; and allocating resources based on the monitoring.
  • the present invention provides a program product wherein the monitoring step comprises monitoring a resource state, an attribute lifecycle, and events for the sensor network.
  • the present invention provides a method for deploying an application for allocating and deploying resources in an autonomic sensor network ecosystem, comprising: providing a computer infrastructure being operable to: receive requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queue the requests; schedule the requests for communication between the sensor network and the enterprise gateway; monitor the sensor network; and allocate resources based on the monitoring.
  • the present invention provides a method, wherein the computer infrastructure is operable to monitor a resource state, an attribute lifecycle, and events for the sensor network.
  • the present invention provides a method, system and program product for deploying (e.g. resources), allocating and addressing threats for an autonomic sensor network ecosystem.
  • Fig. 1 depicts an autonomic sensor network ecosystem according to the present invention.
  • Fig. 2 depicts some underlying functionality of the autonomic sensor network ecosystem of Fig. 1.
  • Fig. 3 depicts a detailed layer diagram of the autonomic sensor network of Fig. 1.
  • Fig. 4 depicts the autonomic sensor network ecosystem of Fig. 1 deployed in a multi-network environment.
  • Fig. 5 depicts a diagram of the deployment and allocation of (resources of) the autonomic sensor network ecosystem of Fig. 1 and resulting data tables.
  • Fig. 6 depicts a first diagram of an illustrative autonomic grid computing scenario.
  • Fig. 7 depicts a second diagram of the illustrative grid computing scenario of Fig 6.
  • Fig. 8 depicts a third diagram of the illustrative grid computing scenario of Fig 6.
  • Fig. 9 depicts a fourth diagram of the illustrative grid computing scenario of Fig 6.
  • Fig. 10 depicts a fifth diagram of the illustrative grid computing scenario of Fig 6.
  • Fig. 11 depicts a first diagram of an illustrative threat addressing scenario according to the present invention.
  • Fig. 12 depicts a second diagram of the illustrative threat addressing scenario of Fig. 11.
  • Fig. 13 depicts a third diagram of the illustrative threat addressing scenario of Fig. 11.
  • Fig. 14 depicts a fourth diagram of the illustrative threat addressing scenario of Fig. 11.
  • Fig. 15 depicts a more specific computerized implementation of a micro grid gateway according to the present invention.
  • the present invention provides a method, system and program product for deploying, allocating and addressing threats for an autonomic sensor network ecosystem.
  • the autonomic sensor network ecosystem includes a set (e.g., one or more) of sensor networks each having a set of sensor peers and at least one super peer; a set of micro grid gateways; and a set of enterprise gateways.
  • Each micro grid gateway is typically adapted to receive requests from a sensor network, an enterprise gateway, and/or another micro grid gateway.
  • each micro grid gateway includes a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.
  • ecosystem 10 includes sensor/peer network (s) /micro grids 12A-B (collectively referred to as micro grid node 20) , a micro grid gateway 14 and an enterprise "grid" gateway 16. It should be appreciated that two sensor networks 12A-B, one micro grid gateway 14 and one enterprise gateway 16 are shown for illustrative purposes only. However, ecosystem 10 could have any quantity thereof. Communication between sensor networks 12A-B, micro grid gateway 14 and enterprise gateway 16 can occur via a hardwired connection and/or a wireless connection.
  • a network such as the Internet, a local area network (LAN) , a wide area network (WAN) , a virtual private network (VPN), etc.
  • LAN local area network
  • WAN wide area network
  • VPN virtual private network
  • Conventional network connectivity such as Token Ring, Ethernet, WiFi or other conventional communications standards could be used.
  • connectivity could be provided by conventional IP-based protocol.
  • an Internet service provider could be used to establish interconnectivity.
  • enterprise gateway 16 is a cluster of components that interact with micro grid gateway 14 and help balance the load of transactions being requested to or from the enterprise grid resources.
  • Enterprise gateway 16 has the ability to reroute transactions appropriately, perform types of computational transactions, and smart prioritization of transaction requests.
  • Enterprise gateway 16' s architecture is typically ad-hoc, scalable and virtualized.
  • Micro grid gateway 14 similarly is also a cluster of components that interact with the enterprise gateway 16 and the sensor networks 12A-B. It handles the processing of requests for computational transactions from either the sensor networks 12A-B or enterprise gateway 16, and allocates appropriately the resources to perform the task.
  • micro grid gateway 14 generally includes a request broker 22, a request queue manager 24, a scheduler 26, and a resource manager 28.
  • the architecture similar to the enterprise gateway 16, is ad-hoc, scalable and virtualized.
  • Sensor networks 12A-B can be a variety of components that have computational abilities. It can also serve as smart sensors that provide monitoring and security features as outlined above.
  • the nodes/peers 18A-B of sensor networks 12A-B are able to initiate job transactions to micro grid gateway 14 and also to enterprise gateway 16.
  • the architecture for sensor networks 12A-B is ad-hoc, scalable, and virtualized.
  • sensor networks 12A-B each generally include a set of peers 18A-B comprised of a set of sensor peers (e.g.,
  • SP1-SP4 and a set of super peers (SP/R1 and SP/R2) .
  • Sensor networks 12A-B may be implemented in an ad-hoc or mesh network that comprises either a full mesh or partial mesh topology.
  • each peer 18A-B is in communication with each other peer 18A-B.
  • each node is not necessarily in communication with the other nodes. While the invention is typically implemented in a wireless environment, it is recognized that some or all of the communications could be implemented using a wired technology.
  • peers 18A-B are configured to broadcast information (e.g., state or status information) to one another. Moreover, as will be further described below, peers 18A-B are configured to bond together (e.g., via JOIN and GATHER requests) to form sensor networks 12A-B.
  • Super peers SP/R1 and SP/R2 are configured to manage sensor networks 12A-B, and to communicate with and/or relay information to micro grid gateway 14. Such communication/relaying can occur using push or pull (e.g., query) techniques .
  • Fig. 1 shows how resources from the sensor networks 12A-B broadcast their availability to resource manager 28 (e.g., in either a publish and/or subscribe mode) .
  • resource manager 28 can also trigger state request polling as described in more detail below.
  • Fig. 1 depicts the types of job submissions and requests. Specifically, as indicated above, requests can be submitted to micro grid gateway 14 by the sensor networks 12A-B or enterprise gateway 16. Processing of such requests can be broken into job transactions that are allocated to appropriate resources in sensor networks 12A-B and/or enterprise gateway 16.
  • SP/R1, SP/R2, and SP/R3 collect information from surrounding peers and relate such information to micro grid gateway 14. This information communication can occur via periodic querying (e.g., pulling) or broadcasting (e.g., pushing) from SP/R1, SP/R2, or SP/R3 about the status of monitoring from that grid. In any event, micro grid gateway 14 will communicate such information to enterprise gateway 16 for analysis. If action needs to be taken, messages (e.g., via SMS or SIP) can be sent directly to peers SP1-SP4, and SP/R1, SP/R2, and SP/R3 to conduct further actions.
  • messages e.g., via SMS or SIP
  • each peer includes the following layers/systems/services: (1) awareness, discovery and broadcast 23; (2) request and event 25; (3) application and data 27; (4) security stack credentials and encryption 29; (5) management 30; (6) network transport 32; (7) power management 34; (8) sensor 36; and (9) super peer/relay 38.
  • awareness, discovery and broadcast system 23 allows peers to communicate or exchange information with one another, and bond together to form a network. As discussed in the above cross-referenced patent applications, this process can include JOIN and GATHER and requests being exchanged.
  • Request and event services 25 provide for detection and administration of events within the sensor network.
  • Application and data service 27 provides for the storage of data components within the peers. To this extent, application and data service 27 stores and relocates/copies data components as described in the above-incorporated patent applications.
  • Security, stack, credentials and encryption key layer 29 provides the necessary security for the peers. Specifically, since data components will be stored therein, security is provided.
  • Management service 30 provides for the configuring and administration of peers.
  • Network transport layer 32 includes a passive layer and an active layer. The passive layer is used for passing or "hopping" data from one peer to another. The active layer is utilized for communicating data gathered or generated by the peer itself.
  • Power management layer 34 may comprise an energy supply such as a solar cell.
  • Sensor layer 36 is for sensing environmental changes (e.g., vibration, wind, chemicals and temperature) and may comprise any type of sensor or sensors that measure some environmental stimuli, including physical, chemical, or biological changes. To this extent, sensor layer 36 may collect, process and store sensed data.
  • environmental changes e.g., vibration, wind, chemicals and temperature
  • sensor layer 36 may collect, process and store sensed data.
  • each peer 18A-B includes super peer/relay services 38.
  • each peer 18A-B is capable of becoming a super peer within the sensor network.
  • the general role of the super peers is to gather information from the other peers, maintain a table of such peer information, and relay/communicate with micro grid gateway 14. In the event a super peer fails, another peer within the sensor network can be "promoted" to super peer status.
  • each peer 18A-B could include other systems/layers/services not depicted herein. Such systems/layers/services are shown and described in the above-incorporated patent applications.
  • each peer 18A-B could also include a local or global routing table for indicating the locations of data components stored within the sensor network, and an update system for updating the local and/or global routing tables as data components are copied/relocated among the peers (e.g., in the event of potential failure of a peer) .
  • micro grid gateway 14 includes: (1) business process rules 40; (2) sensor network management interface 42; (3) message queue 44; (4) security stack 46; and (5) network transport layer 48.
  • Business process rules 40 are used to guide decision-making and the general functionality of micro grid gateway 14 (e.g., selecting a peer as a super peer) .
  • Sensor network management interface 42 is the interface or communication channel between micro grid gateway 14 and the sensor networks.
  • Message queue 44 is a queue for storing messages and communications received from and/or communicated to the sensor networks and enterprise gateway 16.
  • Security stack 46 provides security for micro grid gateway 14, while network transport layer 48 allows for the passing/hopping of data components.
  • Each enterprise gateway 16 includes: (1) security layer 50; (2) message hub 52; (3) data store 54; (4) management service 56; (5) enterprise grid service 58; and (6) business process rules 60.
  • Security layer 50 provides security for enterprise gateway 16.
  • Message hub 52 handles all communications received on enterprise gateway 16. As shown in Fig. 3, a single enterprise gateway 16 could hold communication with multiple micro grid gateways 14. Message hub 52 helps to track all such communications.
  • Operational data store 54 provides storage for data components.
  • Management service 56 provides for the management of enterprise gateway 16.
  • Enterprise grid service 58 provides for the management of ecosystem 10 as a whole.
  • Business process rules 60 are used to guide decision-making and the general functionality of enterprise gateway 16 (e.g., recommending a course of action in response to an event within the sensor network) .
  • ecosystem 10 can be a multi-network environment.
  • ecosystem 10 can include any quantity of sensor networks 12A-D, micro grid gateways 14A-D and enterprise gateways 16A-D. This provides optimal redundancy/resiliency in the event of failure of one or more components. As further shown, communication can occur between any of the components.
  • sensor networks 12A-B the process of deploying and allocating resources in ecosystem 10 will now be further described in conjunction with Fig 5.
  • the sensor peers and super peers within sensor networks 12A-B will first broadcast peer information (e.g., via broadcast layer 23 of Fig. 3) to one another. Such information includes their roles, availabilities, locations and functionalities. Upon such communications "bonding" takes place and sensor networks 12A-B are formed.
  • the peer can become a member of sensor network 12A-B and can stop broadcasting the JOIN.
  • the sensor networks 12A-B are comprised of the Endpoint and the Endpoint' s neighboring peers.
  • Neighboring peers may, for example, be defined as a set of nodes that can communicate with each other.
  • the peer can switch to a GATHER broadcast to gather its own neighbors.
  • the cycle repeats itself, with each peer broadcasting a JOIN getting picked up as a neighbor of another nearby gathering peer (or endpoint) .
  • a peer becomes a neighbor within the network, it switches from JOIN to GATHER.
  • all peers will become another peer's neighbor.
  • a peer becomes a neighbor, it can collect data and send it to a neighbor. The neighbor will pass the data to its neighbor, etc., until the data makes its way back to the Endpoint.
  • Network redundancy is established by allowing each peer to have many neighbors within the network in a manner described below.
  • the entire sensor network 12A-B is established.
  • a peer can determine that the sensor network 12A-B is formed.
  • Each peer will still send out GATHERS, but at a much lower frequency, since the only new peers that would join are nodes that, for example, replace broken peers.
  • super peers will be appointed (e.g., by micro grid gateway 14A-D) from among the peers.
  • the table includes an identifier (e.g., a MAC ID) , a role, a resource availability and a relative location within sensor network 12A-B.
  • identifier e.g., a MAC ID
  • micro grid gateway 14 will broadcast gateway information similar to the peer information to one another, and bond together.
  • Micro grid gateways 14A-D will also create a table "gateway" information that is shown below:
  • Gateway B Gateway 100% E
  • the table identifies an identifier, a role, a resource availability and a relative location within the ecosystem.
  • the super peers within sensor networks 12A-B will communicate with micro grid gateways 14A-D.
  • the peer and gateway information e.g., tables
  • micro grid gateways 14A-D can query the super peers (or be "pushed") to obtain the peer information.
  • micro grid gateways 14A-D will communicate peer information and micro grid information to enterprise gateways 16A-D, which will build and maintain a table of enterprise information containing the same.
  • ecosystem 10 has been deployed and allocated. As such, it can be used to safely store data components (as indicated in the above-incorporated patent application) .
  • Figs. 6-14 will now be used to describe two illustrative scenarios in which requests are handled under the present invention. Specifically, Figs. 6-10 correspond to a first illustrative scenario involving ecosystem 10.
  • a micro grid gateway 14A-D requires an analytical computation and sends out a request through its grid request broker to enterprise gateway 16A-D for computing resources available.
  • micro grid gateways 14A-D poll their sensor networks 12A-D to obtain available resources.
  • SP/R1 and SP/R2 of sensor networks 12A-D poll their respective peers to analyze available resources. The process is continued in Fig.
  • SP/R1 and SP/R2 of sensor networks 12A-B relate to micro grid gateways 14A-B that all sensor peers, including themselves, are available resources with specific details, such as computational availability, memory resources, etc.
  • SP/R1 and SP/R2 of sensor network 12C relate to micro grid gateway 14C that SP2 & SP4 are available resources with specific details, such as computational availability, memory resources, etc., while SPl and SP3 are not active.
  • SP/R1 and SP/R2 of sensor network 12D relate to micro grid gateway 14D that SPl, SP3, SP4, and themselves are available resources with specific details, such as computational availability, memory resources, etc., while SP2 is not active.
  • Grid B All active Grid C: SPl & SP3 not active
  • SP/R1 and SP/R2 of sensor network 12A detect failures in SPl and SP2 and sends out a request for additional computing resources to replace them.
  • micro grid gateways 14B-D for sensor networks 12B-D poll their respective SP/R1 & SP/R2 for resources available to perform additional computing capabilities.
  • sensor networks 12B and 12D respond with resource availability, while sensor network 12C has no resource availability.
  • micro grid gateways 14B and 14D broadcast the availability of their respective sensor networks 12B and 12D.
  • SP/R1 and SP/R2 of sensor 12A receive this information, confirm utilizing such resources, and broadcast internally to active peers.
  • enterprise gateway 16A updates the table of enterprise information to reflect the relative statuses based on the re-allocation as follows:
  • Grid A SP2 & SPl not active Substitute Utilizing SP4 from Grid B
  • each sensor network 12A-D completes its analytical computation and sends back corresponding information to enterprise gateways 16A-D to complete a correlation and integration for a final computation.
  • micro grid gateways 14A-D As can be seen in the scenario illustrated in Figs 6-10, communication between sensor networks 12A-D and enterprise gateways 16A-D flowed through micro grid gateways 14A-D. Furthermore, as illustrated, communication can occur between micro grid gateways 14A-D under the present invention.
  • Figs. 11-14 illustrate a second scenario under the present invention, in which a threat to a sensor network is detected, and in which communication occurs directly between sensor networks 12A-D and enterprise gateways 16A-D.
  • sensor peers in sensor networks 12A-B detect foreign chemical agents, and send a request to their respective micro grid gateways 14A-B for analysis. If the resources at the micro grid gateways 14A-B are unable to process and analyze the information, the requests are then forwarded to enterprise gateways 16A-B for further analysis. Assume in this example that the micro grid gateways 14A-B are in fact unable to process the requests. In such a case, enterprise gateways 16A-B will receive the original requests from sensor networks 12A-B, and summon the analytical processes needed to analyze data gathered.
  • Fig. 12 it is assumed that the analytical processing performed by enterprise gateways 16A-B conclude that a hazardous environment exists in sensor network 12A, and sends an immediate request for the sensor peers to deploy counter biomaterials to neutralize the environment. Conversely, the analytical processing performed by enterprise gateway 16B concludes that a safe environment exists in sensor network 12B despite the foreign chemical agent, and sends a request for the sensor peers to continue monitoring and return data back for analysis.
  • Fig. 14 the analytical processing of enterprise gateways 16A-B conclude, based on the data gathered, that the foreign chemical agents have been neutralized. However, enterprise gateways 16A-B continue to request data for monitoring the environment. If such monitoring concludes that there is still a threat of the foreign chemical agent, deployment of agencies are required for the next level neutralization. As further shown, the analytical process of enterprise gateway 16B still concludes that a safe environment exists in sensor network 12B.
  • enterprise gateway sends a request for the sensor peers to continue monitoring and returning data to enterprise gateway 16B for analysis .
  • a network environment e.g., the Internet, a wide area network (WAN), a local area network
  • LAN local area network
  • VPN virtual private network
  • Communication throughout the network can occur via any combination of various types of communications links.
  • the communication links can comprise addressable connections that may utilize any combination of wired and/or wireless transmission methods.
  • connectivity could be provided by conventional TCP/IP sockets-based protocol, and an Internet service provider could be used to establish connectivity to the Internet.
  • one or more of the components of ecosystem 10, such as micro grid gateway 14, could be deployed, managed, serviced, etc., by a service provider who offers to provide its underlying functionality for customers.
  • micro grid gateway 14 includes a processing unit 100, a memory 102, a bus 104, and input/output (I/O) interfaces 106. Further, micro grid gateway 14 is shown in communication with external I/O devices/resources 108 and storage system 110.
  • processing unit 100 executes computer program code, such as micro grid gateway program 112, which is stored in memory 102 and/or storage system 110. While executing computer program code, processing unit 100 can read and/or write data to/from memory 102, storage system 110, and/or I/O interfaces 106.
  • Bus 104 provides a communication link between each of the components in micro grid gateway 14.
  • External devices 108 can comprise any devices (e.g., keyboard, pointing device, display, etc.) that enable a user to interact with micro grid gateway 14 and/or any devices (e.g., network card, modem, etc.) that enable micro grid gateway 14 to communicate with one or more other computing devices.
  • devices e.g., keyboard, pointing device, display, etc.
  • devices e.g., network card, modem, etc.
  • Micro grid gateway 14 is only representative of various possible computer systems that can include numerous combinations of hardware and/or software.
  • micro grid gateway 14 can comprise any specific purpose computing article of manufacture comprising hardware and/or computer program code for performing specific functions, any computing article of manufacture that comprises a combination of specific purpose and general purpose hardware/software, or the like.
  • the program code and hardware can be created using standard programming and engineering techniques, respectively.
  • processing unit 100 may comprise a single processing unit, or be distributed across one or more processing units in one or more locations, e.g., on a client and server.
  • memory 102 and/or storage system 110 can comprise any combination of various types of data storage and/or transmission media that reside at one or more physical locations.
  • I/O interfaces 106 can comprise any system for exchanging information with one or more external devices 108. Still further, it is understood that one or more additional components (e.g., system software, math co-processing unit, etc.) not shown in Fig. 15 can be included in micro grid gateway 14. However, if micro grid gateway 14 comprises a handheld device or the like, it is understood that one or more external devices 108 (e.g., a display) and/or storage system(s) 60 could be contained within micro grid gateway 14, not externally as shown. It should also be understood that sensor network 12 and enterprise gateway 16 will likely include computerized components similar to micro grid gateway 14.
  • Storage system 110 can be any type of system (e.g., a database) capable of providing storage for information under the present invention, such as tables of information, requests, etc.
  • storage system 110 could include one or more storage devices, such as a magnetic disk drive or an optical disk drive.
  • storage system 110 includes data distributed across, for example, a local area network (LAN) , wide area network (WAN) or a storage area network (SAN) (not shown) .
  • LAN local area network
  • WAN wide area network
  • SAN storage area network
  • additional components such as cache memory, communication systems, system software, etc., may be incorporated into micro grid gateway 14.
  • micro grid gateway program 112 Shown in memory 102 of micro grid gateway 14 is micro grid gateway program 112, which is a software program that will provide the functions of the present invention, and which includes micro grid request broker 22 for receiving requests from sensor network 12, enterprise gateway 16 and/or other micro grid gateways 14; request queue broker 24 for queuing the requests; scheduler 26 for scheduling the requests for communication between the sensor network 12 and the enterprise gateway 16; and (micro grid) resource manager 28 monitor sensor network 12 and allocating resources based on the monitoring.
  • resource manager 28 is operable to monitor a resource state, an attribute lifecycle, and events for sensor network 12.
  • Resource manager 28 is also operable to provide for event notification, query sensor network 12 for attributes, and discover resources of sensor network 12.
  • the invention provides a computer-readable/useable medium that includes computer program code to enable a computer infrastructure perform the functions of the present invention.
  • the computer-readable/useable medium includes program code that implements each of the various process steps of the invention. It is understood that the terms computer-readable medium or computer useable medium can comprise one or more of any type of physical embodiment of the program code.
  • the computer-readable/useable medium can comprise program code embodied on one or more portable storage articles of manufacture (e.g., a compact disc, a magnetic disk, a tape, etc.), on one or more data storage portions of a computing device, such as memory 102 (Fig. 15) and/or storage system 110
  • portable storage articles of manufacture e.g., a compact disc, a magnetic disk, a tape, etc.
  • data storage portions of a computing device such as memory 102 (Fig. 15) and/or storage system 110
  • FIG. 15 (e.g., a fixed disk, a read-only memory, a random access memory, a cache memory, etc.), and/or as a data signal (e.g., a propagated signal) traveling over a network (e.g., during a wired/wireless electronic distribution of the program code) .
  • a data signal e.g., a propagated signal traveling over a network (e.g., during a wired/wireless electronic distribution of the program code)
  • the invention provides a business method that performs the process steps of the invention on a subscription, advertising, and/or fee basis. That is, a service provider, such as a Solution Integrator, could offer to deploy, allocate and address threats for an autonomic sensor network ecosystem.
  • the service provider can create, maintain, support, etc., a computer infrastructure that performs the process steps of the invention for one or more customers.
  • the service provider can receive payment from the customer (s) under a subscription and/or fee agreement and/or the service provider can receive payment from the sale of advertising content to one or more third parties.
  • the invention provides a computer-implemented method for deploying, allocating and addressing threats for an autonomic sensor network ecosystem.
  • a computer infrastructure can be provided and one or more systems for performing the process steps of the invention can be obtained (e.g., created, purchased, used, modified, etc.) and deployed to the computer infrastructure.
  • the deployment of a system can comprise one or more of (1) installing program code on a computing device, such as micro grid gateway 14 (Fig. 15), from a computer-readable medium; (2) adding one or more computing devices to the computer infrastructure; and (3) incorporating and/or modifying one or more existing systems of the computer infrastructure to enable the computer infrastructure to perform the process steps of the invention.
  • program code As used herein, it is understood that the terms "program code" and
  • program code are synonymous and mean any expression, in any language, code or notation, of a set of instructions intended to cause a computing device having an information processing capability to perform a particular function either directly or after either or both of the following: (a) conversion to another language, code or notation; and/or (b) reproduction in a different material form.
  • program code can be embodied as one or more of: an application/software program, component software/a library of functions, an operating system, a basic I/O system/driver for a particular computing and/or I/O device, and the like.

Abstract

The present invention provides a method, system and program product for deploying and allocating resources, and addressing threats in an autonomic sensor network ecosystem. Specifically, under the present invention, the autonomic sensor network ecosystem includes a set (e.g., one or more) of sensor networks each having a set of sensor peers and at least one super peer; a set of micro grid gateways; and a set of enterprise gateways. Each micro grid gateway is typically adapted to receive requests from a sensor network, an enterprise gateway, and/or another micro grid gateway. Moreover, each micro grid gateway includes a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.

Description

ALLOCATING RESOURCES IN AN AUTONOMIC SENSOR NETWORK ECOSYSTEM
FIELD OF THE INVENTION
The present invention generally relates to an autonomic sensor network ecosystem. Specifically, the present invention relates to a method, system and program product for deploying resources, allocating resources and addressing threats in the autonomic sensor network ecosystem.
BACKGROUND OF THE INVENTION
In traditional computer-based storage systems, data is typically stored in sophisticated systems with layers of protections, backups systems, and encryption algorithms. The rise of wireless technologies and peer-to-peer (P2P) delivery systems is forcing the IT industry to decentralize infrastructure and it's applications. Specifically, static physical infrastructures are being replaced with remote virtual environments that make traditional network, data, and applications obsolete. To this extent, even hardware supporting the traditional infrastructure is not scalable and proportional to deliver and meet the demands of P2P environment requirements. As such, conventional IT concepts are changing in an attempt to adopt a new model that provides a more scalable, and secure virtual infrastructure.
The above-incorporated patent applications all take various steps towards providing such an infrastructure. For example, U.S. Patent Application No 10/856,684 avoids data loss by providing a wireless sensor network in which a plurality of peers/motes/nodes are interconnected (e.g., on a peer-to-peer basis) . To store a data set within the network, the data set is broken up into data components, which are then stored among the nodes. Storage of the data components typically occurs by following a routing path through the network according to a routing table or the like. As the path is followed, the data components are stored among the nodes. Other examples of sensor based detection systems are described in US Patent No. 6,169,476 Bl, and US Patent No 6,293,861 Bl.
Under U.S. Patent Application No. 10/946,714, a sensor network comprising a plurality of peer-to-peer nodes is provided. Each node in the network includes, among other things, a sensor for detecting environmental factors. When a potential failure is detected within a node, the node will query its neighboring nodes to determine whether they have the capability to store any data component (s) currently stored within the potentially failing node. Based on the querying, the data component (s) in the potentially failing node are copied to one or more of the neighboring nodes. Thereafter, details of the copying can be broadcast to other nodes in the network, and any routing tables that identify the locations of data components stored throughout the sensor network can be updated.
Under U.S. Patent Application No. 10/972,610 , an autonomic sensor network ecosystem is provided. Such autonomic sensor network ecosystem includes: (1) a set (e.g., one or more) of sensor networks for storing data components; (2) a set of sensor collector information gateways in communication with the sensor networks; and (3) a set of enterprise gateways and storage hubs (hereinafter referred to as enterprise gateways) in communication with the micro grid gateway.
As advanced as these technologies have become, there still exists a need for a further evolution of the autonomic sensor network ecosystem. Specifically, a need exists for a method, system and program product for deploying (e.g. resources), allocating and addressing threats for an autonomic sensor network ecosystem.
SUMMARY OF THE INVENTION
In general, the present invention provides a method, system and program product for deploying and allocating resources, and addressing threats in an autonomic sensor network ecosystem. Specifically, under the present invention, the autonomic sensor network ecosystem includes a set (e.g., one or more) of sensor networks each having a set of sensor peers and at least one super peer; a set of micro grid gateways; and a set of enterprise gateways. Each micro grid gateway is typically adapted to receive requests from a sensor network, an enterprise gateway, and/or another micro grid gateway. Moreover, each micro grid gateway includes a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.
A first aspect of the present invention provides an autonomic sensor network ecosystem, comprising: a set of sensor networks each comprising a set of sensor peers and at least one super peer; a set of micro grid gateways in communication with the set of sensor networks; and a set of enterprise gateways in communication with the set of micro grid gateways, wherein the set of micro grid gateways are adapted to receive and route requests from the set of sensor networks and the set of enterprise gateways .
A second aspect of the present invention provides a computer-implemented method for allocating resources in an autonomic sensor network ecosystem, comprising: receiving a request for resources on a first micro grid gateway from a first sensor network, wherein the first sensor network includes a set of sensor peers and at least one super peer; polling a second sensor network based on the request to determine available resources in the second sensor network; and allocating resources from the second sensor network to the first sensor network based on a response to the polling.
A third aspect of the present invention provides a computer-implemented method for addressing threats in an autonomic sensor network ecosystem, comprising: detecting a threat in a sensor network of the autonomic sensor network ecosystem, wherein the sensor network includes a set of sensor peers and at least one super peer; communicating a request corresponding to the threat to an enterprise gateway of the autonomic sensor network that is in communication with the sensor network; and determining available resources for at least one other sensor network to address the threat based on the request.
A fourth aspect of the present invention provides a program product stored on a computer readable medium for allocating and deploying resources in an autonomic sensor network ecosystem, the computer readable medium comprising program code for causing a computer system to perform the following steps: receiving requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queuing the requests; scheduling the requests for communication between the sensor network and the enterprise gateway; monitoring the sensor network; and allocating resources based on the monitoring.
A fifth aspect of the present invention provides a method for deploying an application for allocating and deploying resources in an autonomic sensor network ecosystem, comprising: providing a computer infrastructure being operable to: receive requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queue the requests; schedule the requests for communication between the sensor network and the enterprise gateway; monitor the sensor network; and allocate resources based on the monitoring. A sixth aspect of the present invention provides computer software embodied in a propagated signal for allocating and deploying an autonomic sensor network ecosystem, the computer software comprising instructions for causing a computer system to perform the following functions: receive requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queue the requests; schedule the requests for communication between the sensor network and the enterprise gateway; and monitor the sensor network and allocating resources based on the monitoring.
Viewed from one aspect, the present invention provides, an autonomic sensor network ecosystem, comprising: a set of sensor networks each comprising a set of sensor peers and at least one super peer; a set of micro grid gateways in communication with the set of sensor networks; and a set of enterprise gateways in communication with the set of micro grid gateways, wherein the set of micro grid gateways are adapted to receive and route requests from the set of sensor networks and the set of enterprise gateways.
Preferably, the present invention provides an autonomic sensor network ecosystem, wherein each of the set of micro grid gateways comprises: a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.
Preferably, the present invention provides an autonomic sensor network ecosystem, wherein the resource manager monitors a resource state, an attribute lifecycle, and events for the set of sensor networks.
Preferably, the present invention provides an autonomic sensor network ecosystem wherein the set of micro grid gateways receive requests from the set of sensor networks and forward the requests to the set of enterprise gateways.
Preferably, the present invention provides an autonomic sensor network ecosystem as claimed wherein the set of micro grid gateways receive requests from the set of enterprise gateways and forward the requests to the set of sensor networks.
Preferably, the present invention provides autonomic sensor network ecosystem, wherein the set of enterprise gateways communicate directly with the set of sensor networks . Preferably, the present invention provides an autonomic sensor network ecosystem wherein each of the set of enterprise gateways comprises a cluster of components that determines actions to be taken with respect to the set of sensor networks .
Preferably, the present invention provides an autonomic sensor network ecosystem wherein the set of micro grid gateways poll the set of sensor networks for available resources.
Preferably, the present invention provides an autonomic sensor network ecosystem wherein the set of sensor networks comprises a plurality of sensor peers, wherein the set of micro grid gateways comprises a plurality of micro grid gateways, and wherein the set of enterprise gateways comprises a plurality of enterprise gateways.
Preferably, the present invention provides an autonomic sensor network ecosystem wherein the set of sensor peers and at least one super peer broadcast to one another, and wherein the at least one super peer creates a table of peer information based on the broadcast.
Preferably, the present invention provides an autonomic sensor network ecosystem wherein the set of micro grid gateways broadcast to one another, and wherein the set of micro grid gateways create a table of gateway information based on the broadcast.
Viewed from another perspective a computer-implemented method for allocating resources in an autonomic sensor network ecosystem, comprising: receiving a request for resources on a first micro grid gateway from a first sensor network, wherein the first sensor network includes a set of sensor peers and at least one super peer; polling a second sensor network based on the request to determine available resources in the second sensor network; and allocating resources from the second sensor network to the first sensor network based on a response to the polling.
Preferably, the present invention provides computer-implemented method further comprising communicating the request to an enterprise gateway from the first micro grid gateway prior to the polling step, wherein the polling is conducted from the enterprise gateway, and wherein the response is received on the enterprise gateway and is communicated to the first micro grid gateway. Preferably, the present invention provides a computer-implemented method further comprising communicating the request from the first micro grid gateway to a second micro grid gateway prior to the polling step, wherein the polling is conducted from second micro grid gateway, and wherein the response is received on the second micro grid gateway and is communicated to the first micro grid gateway.
Preferably, the present invention provides a computer-implemented method, further comprising updating an enterprise table that contains sensor network statuses based on the allocating.
Viewed from another aspect, the present invention provides a computer-implemented method for addressing threats in an autonomic sensor network ecosystem, comprising: detecting a threat in a sensor network of the autonomic sensor network ecosystem, wherein the sensor network includes a set of sensor peers and at least one super peer; communicating a request corresponding to the threat to an enterprise gateway of the autonomic sensor network that is in communication with the sensor network; and determining available resources for at least one other sensor network to address the threat based on the request.
Preferably, the present invention provides a computer-implemented method, further comprising receiving the request on a micro grid gateway from the sensor network, wherein the communicating step comprises communicating the request from the micro grid gateway to the enterprise gateway.
Preferably, the present invention provides a computer-implemented method, wherein the determining step comprises polling the at least one other sensor network for the available resources, and wherein the method further comprises: receiving a response from each of the at least one other sensor networks on the enterprise gateway; and allocating resources away from the sensor network to address the threat based on the response.
Viewed from another aspect, the present invention provides a program product stored on a computer readable medium for allocating and deploying resources in an autonomic sensor network ecosystem, the computer readable medium comprising program code for causing a computer system to perform the following steps: receiving requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queuing the requests; scheduling the requests for communication between the sensor network and the enterprise gateway; monitoring the sensor network; and allocating resources based on the monitoring.
Preferably, the present invention provides a program product wherein the monitoring step comprises monitoring a resource state, an attribute lifecycle, and events for the sensor network.
Viewed from another aspect, the present invention provides a method for deploying an application for allocating and deploying resources in an autonomic sensor network ecosystem, comprising: providing a computer infrastructure being operable to: receive requests from a sensor network and an enterprise gateway of the autonomic sensor network ecosystem; queue the requests; schedule the requests for communication between the sensor network and the enterprise gateway; monitor the sensor network; and allocate resources based on the monitoring.
Preferably, the present invention provides a method, wherein the computer infrastructure is operable to monitor a resource state, an attribute lifecycle, and events for the sensor network.
Therefore, the present invention provides a method, system and program product for deploying (e.g. resources), allocating and addressing threats for an autonomic sensor network ecosystem.
BRIEF DESCRIPTION OF THE DRAWINGS
These and other features of this invention will be more readily understood from the following detailed description of the various aspects of the invention taken in conjunction with the accompanying drawings in which:
Fig. 1 depicts an autonomic sensor network ecosystem according to the present invention.
Fig. 2 depicts some underlying functionality of the autonomic sensor network ecosystem of Fig. 1.
Fig. 3 depicts a detailed layer diagram of the autonomic sensor network of Fig. 1.
Fig. 4 depicts the autonomic sensor network ecosystem of Fig. 1 deployed in a multi-network environment. Fig. 5 depicts a diagram of the deployment and allocation of (resources of) the autonomic sensor network ecosystem of Fig. 1 and resulting data tables.
Fig. 6 depicts a first diagram of an illustrative autonomic grid computing scenario.
Fig. 7 depicts a second diagram of the illustrative grid computing scenario of Fig 6.
Fig. 8 depicts a third diagram of the illustrative grid computing scenario of Fig 6.
Fig. 9 depicts a fourth diagram of the illustrative grid computing scenario of Fig 6.
Fig. 10 depicts a fifth diagram of the illustrative grid computing scenario of Fig 6.
Fig. 11 depicts a first diagram of an illustrative threat addressing scenario according to the present invention.
Fig. 12 depicts a second diagram of the illustrative threat addressing scenario of Fig. 11.
Fig. 13 depicts a third diagram of the illustrative threat addressing scenario of Fig. 11.
Fig. 14 depicts a fourth diagram of the illustrative threat addressing scenario of Fig. 11.
Fig. 15 depicts a more specific computerized implementation of a micro grid gateway according to the present invention.
Detailed description of the invention
I . General Description
As indicated above, the present invention provides a method, system and program product for deploying, allocating and addressing threats for an autonomic sensor network ecosystem. Specifically, under the present invention, the autonomic sensor network ecosystem includes a set (e.g., one or more) of sensor networks each having a set of sensor peers and at least one super peer; a set of micro grid gateways; and a set of enterprise gateways. Each micro grid gateway is typically adapted to receive requests from a sensor network, an enterprise gateway, and/or another micro grid gateway. Moreover, each micro grid gateway includes a request broker for receiving the requests; a request queue manager for queuing the requests; a scheduler for scheduling the requests; and a resource manager for monitoring the set of sensor networks.
Referring now to Fig. 1, an autonomic sensor network ecosystem
(ecosystem) 10 according to the present invention is shown. As depicted, ecosystem 10 includes sensor/peer network (s) /micro grids 12A-B (collectively referred to as micro grid node 20) , a micro grid gateway 14 and an enterprise "grid" gateway 16. It should be appreciated that two sensor networks 12A-B, one micro grid gateway 14 and one enterprise gateway 16 are shown for illustrative purposes only. However, ecosystem 10 could have any quantity thereof. Communication between sensor networks 12A-B, micro grid gateway 14 and enterprise gateway 16 can occur via a hardwired connection and/or a wireless connection. To this extent, communication typically occurs over a network such as the Internet, a local area network (LAN) , a wide area network (WAN) , a virtual private network (VPN), etc. Conventional network connectivity, such as Token Ring, Ethernet, WiFi or other conventional communications standards could be used. Still yet, connectivity could be provided by conventional IP-based protocol. In this instance, an Internet service provider could be used to establish interconnectivity.
In general, enterprise gateway 16 is a cluster of components that interact with micro grid gateway 14 and help balance the load of transactions being requested to or from the enterprise grid resources. Enterprise gateway 16 has the ability to reroute transactions appropriately, perform types of computational transactions, and smart prioritization of transaction requests. Enterprise gateway 16' s architecture is typically ad-hoc, scalable and virtualized. Micro grid gateway 14 similarly is also a cluster of components that interact with the enterprise gateway 16 and the sensor networks 12A-B. It handles the processing of requests for computational transactions from either the sensor networks 12A-B or enterprise gateway 16, and allocates appropriately the resources to perform the task. As will be further described below, micro grid gateway 14 generally includes a request broker 22, a request queue manager 24, a scheduler 26, and a resource manager 28. The architecture, similar to the enterprise gateway 16, is ad-hoc, scalable and virtualized. Sensor networks 12A-B can be a variety of components that have computational abilities. It can also serve as smart sensors that provide monitoring and security features as outlined above. The nodes/peers 18A-B of sensor networks 12A-B are able to initiate job transactions to micro grid gateway 14 and also to enterprise gateway 16. The architecture for sensor networks 12A-B is ad-hoc, scalable, and virtualized.
As further shown in Fig. 1, sensor networks 12A-B each generally include a set of peers 18A-B comprised of a set of sensor peers (e.g.,
SP1-SP4) and a set of super peers (SP/R1 and SP/R2) . As will be further described below, when ecosystem 10 is deployed and allocated, a data structure can be broken down into components and stored within the sensor peers SP1-SP4 of sensor networks 12A-B. Sensor networks 12A-B may be implemented in an ad-hoc or mesh network that comprises either a full mesh or partial mesh topology. In a full mesh topology, each peer 18A-B is in communication with each other peer 18A-B. In a partial mesh topology, each node is not necessarily in communication with the other nodes. While the invention is typically implemented in a wireless environment, it is recognized that some or all of the communications could be implemented using a wired technology.
In general, (as described below in conjunction with Fig. 2) peers 18A-B are configured to broadcast information (e.g., state or status information) to one another. Moreover, as will be further described below, peers 18A-B are configured to bond together (e.g., via JOIN and GATHER requests) to form sensor networks 12A-B. Super peers SP/R1 and SP/R2 are configured to manage sensor networks 12A-B, and to communicate with and/or relay information to micro grid gateway 14. Such communication/relaying can occur using push or pull (e.g., query) techniques .
Under the present invention, micro grid gateway 14 includes a micro grid request broker 22 for receiving requests from sensor networks 12A-B, enterprise gateway 16 and/or other micro grid gateways 14; a request queue broker 24 for queuing the requests, a scheduler 26 for scheduling the requests for communication between the sensor networks 12A-B and the enterprise gateway 16; and a (micro grid) resource manager 28 for monitoring sensor networks 12A-B and allocating resources based on the monitoring. In monitoring sensor networks 12A-B, resource manager 28 is operable to monitor a resource state, an attribute lifecycle, and events for sensor networks 12A-B. Resource manager 28 is also operable to provide for event notification, query sensor network 12A-B for attributes, and discover resources of sensor networks 12A-B.
In addition to depicting the actions and roles of the micro grid gateway 14, Fig. 1 shows how resources from the sensor networks 12A-B broadcast their availability to resource manager 28 (e.g., in either a publish and/or subscribe mode) . To this extent, resource manager 28 can also trigger state request polling as described in more detail below. Still yet, Fig. 1, depicts the types of job submissions and requests. Specifically, as indicated above, requests can be submitted to micro grid gateway 14 by the sensor networks 12A-B or enterprise gateway 16. Processing of such requests can be broken into job transactions that are allocated to appropriate resources in sensor networks 12A-B and/or enterprise gateway 16.
Referring to Fig. 2, the broadcasting of resource state information under the present invention is shown. Specifically, SP/R1, SP/R2, and SP/R3 collect information from surrounding peers and relate such information to micro grid gateway 14. This information communication can occur via periodic querying (e.g., pulling) or broadcasting (e.g., pushing) from SP/R1, SP/R2, or SP/R3 about the status of monitoring from that grid. In any event, micro grid gateway 14 will communicate such information to enterprise gateway 16 for analysis. If action needs to be taken, messages (e.g., via SMS or SIP) can be sent directly to peers SP1-SP4, and SP/R1, SP/R2, and SP/R3 to conduct further actions.
Referring now to Fig. 3, a more detailed stack/layer diagram of ecosystem 10 is shown. As shown, each peer includes the following layers/systems/services: (1) awareness, discovery and broadcast 23; (2) request and event 25; (3) application and data 27; (4) security stack credentials and encryption 29; (5) management 30; (6) network transport 32; (7) power management 34; (8) sensor 36; and (9) super peer/relay 38.
In general, awareness, discovery and broadcast system 23 allows peers to communicate or exchange information with one another, and bond together to form a network. As discussed in the above cross-referenced patent applications, this process can include JOIN and GATHER and requests being exchanged. Request and event services 25 provide for detection and administration of events within the sensor network. Application and data service 27 provides for the storage of data components within the peers. To this extent, application and data service 27 stores and relocates/copies data components as described in the above-incorporated patent applications. Security, stack, credentials and encryption key layer 29 provides the necessary security for the peers. Specifically, since data components will be stored therein, security is provided. Management service 30 provides for the configuring and administration of peers. Network transport layer 32 includes a passive layer and an active layer. The passive layer is used for passing or "hopping" data from one peer to another. The active layer is utilized for communicating data gathered or generated by the peer itself. Power management layer 34 may comprise an energy supply such as a solar cell.
Sensor layer 36 is for sensing environmental changes (e.g., vibration, wind, chemicals and temperature) and may comprise any type of sensor or sensors that measure some environmental stimuli, including physical, chemical, or biological changes. To this extent, sensor layer 36 may collect, process and store sensed data.
As further shown, each peer 18A-B includes super peer/relay services 38. Under the present invention, each peer 18A-B is capable of becoming a super peer within the sensor network. The general role of the super peers is to gather information from the other peers, maintain a table of such peer information, and relay/communicate with micro grid gateway 14. In the event a super peer fails, another peer within the sensor network can be "promoted" to super peer status.
It should be understood that each peer 18A-B could include other systems/layers/services not depicted herein. Such systems/layers/services are shown and described in the above-incorporated patent applications. For example, each peer 18A-B could also include a local or global routing table for indicating the locations of data components stored within the sensor network, and an update system for updating the local and/or global routing tables as data components are copied/relocated among the peers (e.g., in the event of potential failure of a peer) .
As further shown in Fig. 3, micro grid gateway 14 includes: (1) business process rules 40; (2) sensor network management interface 42; (3) message queue 44; (4) security stack 46; and (5) network transport layer 48. Business process rules 40 are used to guide decision-making and the general functionality of micro grid gateway 14 (e.g., selecting a peer as a super peer) . Sensor network management interface 42 is the interface or communication channel between micro grid gateway 14 and the sensor networks. Message queue 44 is a queue for storing messages and communications received from and/or communicated to the sensor networks and enterprise gateway 16. Security stack 46 provides security for micro grid gateway 14, while network transport layer 48 allows for the passing/hopping of data components.
Each enterprise gateway 16 includes: (1) security layer 50; (2) message hub 52; (3) data store 54; (4) management service 56; (5) enterprise grid service 58; and (6) business process rules 60. Security layer 50 provides security for enterprise gateway 16. Message hub 52 handles all communications received on enterprise gateway 16. As shown in Fig. 3, a single enterprise gateway 16 could hold communication with multiple micro grid gateways 14. Message hub 52 helps to track all such communications. Operational data store 54 provides storage for data components. Management service 56 provides for the management of enterprise gateway 16. Enterprise grid service 58 provides for the management of ecosystem 10 as a whole. Business process rules 60 are used to guide decision-making and the general functionality of enterprise gateway 16 (e.g., recommending a course of action in response to an event within the sensor network) .
As mentioned above, ecosystem 10 can be a multi-network environment.
An example of this is shown in Fig. 4. Under the present invention, ecosystem 10 can include any quantity of sensor networks 12A-D, micro grid gateways 14A-D and enterprise gateways 16A-D. This provides optimal redundancy/resiliency in the event of failure of one or more components. As further shown, communication can occur between any of the components.
II . Deployment and Allocation
Given the above description of ecosystem 10, the process of deploying and allocating resources in ecosystem 10 will now be further described in conjunction with Fig 5. In order to form sensor networks 12A-B, the sensor peers and super peers within sensor networks 12A-B will first broadcast peer information (e.g., via broadcast layer 23 of Fig. 3) to one another. Such information includes their roles, availabilities, locations and functionalities. Upon such communications "bonding" takes place and sensor networks 12A-B are formed.
In forming sensor networks 12A-B in this manner, the JOIN and GATHER teachings described in the above-incorporated patent applications can be followed. For example, when a peer is first powered up, its communication can be limited to a JOIN broadcast message, which essentially says, "I'd like to join a network." Thus, when sensor networks 12A-B are first activated, each peer could only broadcast a JOIN, and will not receive a response until an endpoint gets involved. Endpoints are initialized with the capability of responding to JOIN broadcasts. Namely, an Endpoint will answer all JOIN broadcasts that it can detect with a GATHER response. Thus, an Endpoint recognizes JOIN broadcasts from neighboring peers, and responds with a GATHER. As soon as a peer recognizes a GATHER, the peer can become a member of sensor network 12A-B and can stop broadcasting the JOIN. Thus, initially, the sensor networks 12A-B are comprised of the Endpoint and the Endpoint' s neighboring peers. Neighboring peers may, for example, be defined as a set of nodes that can communicate with each other.
As soon as a peer establishes itself in sensor networks 12A-B, the peer can switch to a GATHER broadcast to gather its own neighbors. Thus, the cycle repeats itself, with each peer broadcasting a JOIN getting picked up as a neighbor of another nearby gathering peer (or endpoint) . Again, whenever a peer becomes a neighbor within the network, it switches from JOIN to GATHER. Very quickly, all peers will become another peer's neighbor. As soon as a peer becomes a neighbor, it can collect data and send it to a neighbor. The neighbor will pass the data to its neighbor, etc., until the data makes its way back to the Endpoint. Network redundancy is established by allowing each peer to have many neighbors within the network in a manner described below.
After a short period, the entire sensor network 12A-B is established. At some point, when a peer is no longer receiving JOIN requests, a peer can determine that the sensor network 12A-B is formed. Each peer will still send out GATHERS, but at a much lower frequency, since the only new peers that would join are nodes that, for example, replace broken peers. In forming sensor networks 12A-B, super peers will be appointed (e.g., by micro grid gateway 14A-D) from among the peers.
In any event, once sensor network 12A-B has been formed, the super peers will create and manage a table of "peer" information, which is shown below in greater detail.
Sensor Mac ID Role Resource Location
SPl Sensor Peer / Super Peer 100% N
SP2 Sensor Peer / Super Peer 100% W
SP4 Sensor Peer / Super Peer 100% S
SP/R1 Sensor Peer / Super Peer 100% NE SP/R3 Sensor Peer / Super Peer 100% E
As shown, for each peer, the table includes an identifier (e.g., a MAC ID) , a role, a resource availability and a relative location within sensor network 12A-B. As this process is occurring, micro grid gateway 14 will broadcast gateway information similar to the peer information to one another, and bond together. Micro grid gateways 14A-D will also create a table "gateway" information that is shown below:
Micro Grid Gateway Role Resource Location
Gateway A Gateway 100% N
Gateway B Gateway 100% E
Gateway D Gateway 100% S
As shown, for each micro grid gateway 14A-B, the table identifies an identifier, a role, a resource availability and a relative location within the ecosystem.
Once these first two steps are completed, the super peers within sensor networks 12A-B will communicate with micro grid gateways 14A-D. During this communication the peer and gateway information (e.g., tables) will be exchanged. During the communication, micro grid gateways 14A-D can query the super peers (or be "pushed") to obtain the peer information. In either event, when this is complete, micro grid gateways 14A-D will communicate peer information and micro grid information to enterprise gateways 16A-D, which will build and maintain a table of enterprise information containing the same. At this point, ecosystem 10 has been deployed and allocated. As such, it can be used to safely store data components (as indicated in the above-incorporated patent application) .
Ill . Illustrative Scenarios
Figs. 6-14 will now be used to describe two illustrative scenarios in which requests are handled under the present invention. Specifically, Figs. 6-10 correspond to a first illustrative scenario involving ecosystem 10. Referring first to Fig. 6, in a first step, a micro grid gateway 14A-D requires an analytical computation and sends out a request through its grid request broker to enterprise gateway 16A-D for computing resources available. In a second step, micro grid gateways 14A-D poll their sensor networks 12A-D to obtain available resources. In the third step shown, SP/R1 and SP/R2 of sensor networks 12A-D poll their respective peers to analyze available resources. The process is continued in Fig. 7 where in a next step SP/R1 and SP/R2 of sensor networks 12A-B relate to micro grid gateways 14A-B that all sensor peers, including themselves, are available resources with specific details, such as computational availability, memory resources, etc. Next, in this illustrative scenario, SP/R1 and SP/R2 of sensor network 12C relate to micro grid gateway 14C that SP2 & SP4 are available resources with specific details, such as computational availability, memory resources, etc., while SPl and SP3 are not active. As this is occurring, SP/R1 and SP/R2 of sensor network 12D relate to micro grid gateway 14D that SPl, SP3, SP4, and themselves are available resources with specific details, such as computational availability, memory resources, etc., while SP2 is not active.
Thereafter, an enterprise table is created depicting resources as follows:
Grid A: All active
Grid B: All active Grid C: SPl & SP3 not active
Grid D: SP2 not active
Referring now to Fig. 8, the illustrative process is continued. In a next step, SP/R1 and SP/R2 of sensor network 12A detect failures in SPl and SP2 and sends out a request for additional computing resources to replace them. As a result, micro grid gateways 14B-D for sensor networks 12B-D poll their respective SP/R1 & SP/R2 for resources available to perform additional computing capabilities. Assume in this example that sensor networks 12B and 12D respond with resource availability, while sensor network 12C has no resource availability.
Turning to Fig. 9, micro grid gateways 14B and 14D broadcast the availability of their respective sensor networks 12B and 12D. SP/R1 and SP/R2 of sensor 12A receive this information, confirm utilizing such resources, and broadcast internally to active peers. Thereafter, enterprise gateway 16A updates the table of enterprise information to reflect the relative statuses based on the re-allocation as follows:
Grid A: SP2 & SPl not active Substitute Utilizing SP4 from Grid B
Substitute Utilizing SPl from Grid D
Once the table is updated, the local active sensor peers in sensor network 12A communicate to the respective sensor peers from sensor networks 12B and 12D for any dependent computational requirements. The illustrative scenario is finalized in Fig. 10, in which each sensor network 12A-D completes its analytical computation and sends back corresponding information to enterprise gateways 16A-D to complete a correlation and integration for a final computation.
As can be seen in the scenario illustrated in Figs 6-10, communication between sensor networks 12A-D and enterprise gateways 16A-D flowed through micro grid gateways 14A-D. Furthermore, as illustrated, communication can occur between micro grid gateways 14A-D under the present invention.
Figs. 11-14 illustrate a second scenario under the present invention, in which a threat to a sensor network is detected, and in which communication occurs directly between sensor networks 12A-D and enterprise gateways 16A-D. Referring first to Fig. 11, sensor peers in sensor networks 12A-B detect foreign chemical agents, and send a request to their respective micro grid gateways 14A-B for analysis. If the resources at the micro grid gateways 14A-B are unable to process and analyze the information, the requests are then forwarded to enterprise gateways 16A-B for further analysis. Assume in this example that the micro grid gateways 14A-B are in fact unable to process the requests. In such a case, enterprise gateways 16A-B will receive the original requests from sensor networks 12A-B, and summon the analytical processes needed to analyze data gathered.
Referring now to Fig. 12, it is assumed that the analytical processing performed by enterprise gateways 16A-B conclude that a hazardous environment exists in sensor network 12A, and sends an immediate request for the sensor peers to deploy counter biomaterials to neutralize the environment. Conversely, the analytical processing performed by enterprise gateway 16B concludes that a safe environment exists in sensor network 12B despite the foreign chemical agent, and sends a request for the sensor peers to continue monitoring and return data back for analysis.
In Fig. 13, it can be seen that the sensor peer in sensor network
12A has contained the foreign biochemical agent but continues to send data to the enterprise gateway 16A for analytical processing. This allows enterprise gateway 16A to continue analyzing the real time data retrieved to make sure that the foreign chemical agent has been neutralized. As this is occurring, assume that the applicable sensor peer in sensor network 12B continues to send data to the enterprise gateway 16B for analytical processing to request the continued analysis of the real time data retrieved. This is to ensure that the passive foreign chemical agent is not a threat to sensor network 12B.
Lastly, in Fig. 14, the analytical processing of enterprise gateways 16A-B conclude, based on the data gathered, that the foreign chemical agents have been neutralized. However, enterprise gateways 16A-B continue to request data for monitoring the environment. If such monitoring concludes that there is still a threat of the foreign chemical agent, deployment of agencies are required for the next level neutralization. As further shown, the analytical process of enterprise gateway 16B still concludes that a safe environment exists in sensor network 12B.
Nevertheless, enterprise gateway sends a request for the sensor peers to continue monitoring and returning data to enterprise gateway 16B for analysis .
IV. Computerized Implementation
Referring now to Fig. 15, a more detailed computerized implementation of ecosystem 10 is depicted. As indicated above, the present invention is typically implemented within a network environment (e.g., the Internet, a wide area network (WAN), a local area network
(LAN), a virtual private network (VPN), etc.). Communication throughout the network can occur via any combination of various types of communications links. For example, the communication links can comprise addressable connections that may utilize any combination of wired and/or wireless transmission methods. Where communications occur via the Internet, connectivity could be provided by conventional TCP/IP sockets-based protocol, and an Internet service provider could be used to establish connectivity to the Internet. It should be understood that one or more of the components of ecosystem 10, such as micro grid gateway 14, could be deployed, managed, serviced, etc., by a service provider who offers to provide its underlying functionality for customers.
As shown, micro grid gateway 14 includes a processing unit 100, a memory 102, a bus 104, and input/output (I/O) interfaces 106. Further, micro grid gateway 14 is shown in communication with external I/O devices/resources 108 and storage system 110. In general, processing unit 100 executes computer program code, such as micro grid gateway program 112, which is stored in memory 102 and/or storage system 110. While executing computer program code, processing unit 100 can read and/or write data to/from memory 102, storage system 110, and/or I/O interfaces 106. Bus 104 provides a communication link between each of the components in micro grid gateway 14. External devices 108 can comprise any devices (e.g., keyboard, pointing device, display, etc.) that enable a user to interact with micro grid gateway 14 and/or any devices (e.g., network card, modem, etc.) that enable micro grid gateway 14 to communicate with one or more other computing devices.
Micro grid gateway 14 is only representative of various possible computer systems that can include numerous combinations of hardware and/or software. To this extent, in other embodiments, micro grid gateway 14 can comprise any specific purpose computing article of manufacture comprising hardware and/or computer program code for performing specific functions, any computing article of manufacture that comprises a combination of specific purpose and general purpose hardware/software, or the like. In each case, the program code and hardware can be created using standard programming and engineering techniques, respectively. Moreover, processing unit 100 may comprise a single processing unit, or be distributed across one or more processing units in one or more locations, e.g., on a client and server. Similarly, memory 102 and/or storage system 110 can comprise any combination of various types of data storage and/or transmission media that reside at one or more physical locations. Further, I/O interfaces 106 can comprise any system for exchanging information with one or more external devices 108. Still further, it is understood that one or more additional components (e.g., system software, math co-processing unit, etc.) not shown in Fig. 15 can be included in micro grid gateway 14. However, if micro grid gateway 14 comprises a handheld device or the like, it is understood that one or more external devices 108 (e.g., a display) and/or storage system(s) 60 could be contained within micro grid gateway 14, not externally as shown. It should also be understood that sensor network 12 and enterprise gateway 16 will likely include computerized components similar to micro grid gateway 14.
Storage system 110 can be any type of system (e.g., a database) capable of providing storage for information under the present invention, such as tables of information, requests, etc. To this extent, storage system 110 could include one or more storage devices, such as a magnetic disk drive or an optical disk drive. In another embodiment, storage system 110 includes data distributed across, for example, a local area network (LAN) , wide area network (WAN) or a storage area network (SAN) (not shown) . Although not shown, additional components, such as cache memory, communication systems, system software, etc., may be incorporated into micro grid gateway 14. Shown in memory 102 of micro grid gateway 14 is micro grid gateway program 112, which is a software program that will provide the functions of the present invention, and which includes micro grid request broker 22 for receiving requests from sensor network 12, enterprise gateway 16 and/or other micro grid gateways 14; request queue broker 24 for queuing the requests; scheduler 26 for scheduling the requests for communication between the sensor network 12 and the enterprise gateway 16; and (micro grid) resource manager 28 monitor sensor network 12 and allocating resources based on the monitoring. In monitoring sensor network 12, resource manager 28 is operable to monitor a resource state, an attribute lifecycle, and events for sensor network 12. Resource manager 28 is also operable to provide for event notification, query sensor network 12 for attributes, and discover resources of sensor network 12.
While shown and described herein as a method, system and program product for deploying resources, allocating resources and addressing threats for an autonomic sensor network ecosystem, it is understood that the invention further provides various alternative embodiments. For example, in one embodiment, the invention provides a computer-readable/useable medium that includes computer program code to enable a computer infrastructure perform the functions of the present invention. To this extent, the computer-readable/useable medium includes program code that implements each of the various process steps of the invention. It is understood that the terms computer-readable medium or computer useable medium can comprise one or more of any type of physical embodiment of the program code. In particular, the computer-readable/useable medium can comprise program code embodied on one or more portable storage articles of manufacture (e.g., a compact disc, a magnetic disk, a tape, etc.), on one or more data storage portions of a computing device, such as memory 102 (Fig. 15) and/or storage system 110
(Fig. 15) (e.g., a fixed disk, a read-only memory, a random access memory, a cache memory, etc.), and/or as a data signal (e.g., a propagated signal) traveling over a network (e.g., during a wired/wireless electronic distribution of the program code) .
In another embodiment, the invention provides a business method that performs the process steps of the invention on a subscription, advertising, and/or fee basis. That is, a service provider, such as a Solution Integrator, could offer to deploy, allocate and address threats for an autonomic sensor network ecosystem. In this case, the service provider can create, maintain, support, etc., a computer infrastructure that performs the process steps of the invention for one or more customers. In return, the service provider can receive payment from the customer (s) under a subscription and/or fee agreement and/or the service provider can receive payment from the sale of advertising content to one or more third parties.
In still another embodiment, the invention provides a computer-implemented method for deploying, allocating and addressing threats for an autonomic sensor network ecosystem. In this case, a computer infrastructure can be provided and one or more systems for performing the process steps of the invention can be obtained (e.g., created, purchased, used, modified, etc.) and deployed to the computer infrastructure. To this extent, the deployment of a system can comprise one or more of (1) installing program code on a computing device, such as micro grid gateway 14 (Fig. 15), from a computer-readable medium; (2) adding one or more computing devices to the computer infrastructure; and (3) incorporating and/or modifying one or more existing systems of the computer infrastructure to enable the computer infrastructure to perform the process steps of the invention.
As used herein, it is understood that the terms "program code" and
"computer program code" are synonymous and mean any expression, in any language, code or notation, of a set of instructions intended to cause a computing device having an information processing capability to perform a particular function either directly or after either or both of the following: (a) conversion to another language, code or notation; and/or (b) reproduction in a different material form. To this extent, program code can be embodied as one or more of: an application/software program, component software/a library of functions, an operating system, a basic I/O system/driver for a particular computing and/or I/O device, and the like.
The foregoing description of various aspects of the invention has been presented for purposes of illustration and description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed, and obviously, many modifications and variations are possible. Such modifications and variations that may be apparent to a person skilled in the art are intended to be included within the scope of the invention as defined by the accompanying claims.

Claims

1. An autonomic sensor network ecosystem, comprising:
a set of sensor networks each comprising a set of sensor peers and at least one super peer;
a set of micro grid gateways in communication with the set of sensor networks; and
a set of enterprise gateways in communication with the set of micro grid gateways, wherein the set of micro grid gateways are adapted to receive and route requests from the set of sensor networks and the set of enterprise gateways.
2. An autonomic sensor network ecosystem as claimed in claim 1, wherein each of the set of micro grid gateways comprises:
a request broker for receiving the requests;
a request queue manager for queuing the requests;
a scheduler for scheduling the requests; and
a resource manager for monitoring the set of sensor networks.
3. An autonomic sensor network ecosystem as claimed in claim 2, wherein the resource manager monitors a resource state, an attribute lifecycle, and events for the set of sensor networks.
4. An autonomic sensor network ecosystem as claimed in claim 1, wherein the set of micro grid gateways receive requests from the set of sensor networks and forward the requests to the set of enterprise gateways.
5. An autonomic sensor network ecosystem as claimed in claim 1, wherein the set of micro grid gateways receive requests from the set of enterprise gateways and forward the requests to the set of sensor networks.
6. An autonomic sensor network ecosystem as claimed in claim 1, wherein the set of enterprise gateways communicate directly with the set of sensor networks.
7. An autonomic sensor network ecosystem as claimed in claim 1, wherein each of the set of enterprise gateways comprises a cluster of components that determines actions to be taken with respect to the set of sensor networks .
8. An autonomic sensor network ecosystem as claimed in claim 1, wherein the set of micro grid gateways poll the set of sensor networks for available resources.
9. An autonomic sensor network ecosystem as claimed in claim 1, wherein the set of sensor networks comprises a plurality of sensor peers, wherein the set of micro grid gateways comprises a plurality of micro grid gateways, and wherein the set of enterprise gateways comprises a plurality of enterprise gateways.
10. An autonomic sensor network ecosystem as claimed in claim 1, wherein the set of sensor peers and at least one super peer broadcast to one another, and wherein the at least one super peer creates a table of peer information based on the broadcast.
11. An autonomic sensor network ecosystem as claimed in claim 1, wherein the set of micro grid gateways broadcast to one another, and wherein the set of micro grid gateways create a table of gateway information based on the broadcast.
12. A method for allocating resources in an autonomic sensor network ecosystem, comprising:
receiving a request for resources on a first micro grid gateway from a first sensor network, wherein the first sensor network includes a set of sensor peers and at least one super peer;
polling a second sensor network based on the request to determine available resources in the second sensor network; and
allocating resources from the second sensor network to the first sensor network based on a response to the polling.
13. A method as claimed in claim 12, further comprising communicating the request to an enterprise gateway from the first micro grid gateway prior to the polling step, wherein the polling is conducted from the enterprise gateway, and wherein the response is received on the enterprise gateway and is communicated to the first micro grid gateway.
14. A method as claimed in claim 12, further comprising communicating the request from the first micro grid gateway to a second micro grid gateway prior to the polling step, wherein the polling is conducted from second micro grid gateway, and wherein the response is received on the second micro grid gateway and is communicated to the first micro grid gateway.
15. A method as claimed in claim 12, further comprising updating an enterprise table that contains sensor network statuses based on the allocating.
16. A computer program product loadable into the internal memory of a digital computer, comprising software code portions for performing, when said product is run on a computer, to carry out the invention as claimed in claims 12 to 15.
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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009223403A (en) * 2008-03-13 2009-10-01 Toshiba Corp Control system,device,method
WO2012103400A1 (en) * 2011-01-28 2012-08-02 Cisco Technology, Inc. A hierarchical network for collecting, aggregating, indexing, and searching sensor data
WO2014006264A1 (en) * 2012-07-05 2014-01-09 Nokia Corporation Method and apparatus for sensor data processing
WO2016163906A1 (en) * 2015-04-08 2016-10-13 Siemens Aktiengesellschaft Monitoring of a mechanical device
US9652963B2 (en) 2015-07-29 2017-05-16 Dell Products, Lp Provisioning and managing autonomous sensors
CN114760341A (en) * 2022-06-13 2022-07-15 深圳市玄羽科技有限公司 Intelligent control remote operation and maintenance platform and method for industrial internet equipment

Families Citing this family (57)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006344017A (en) * 2005-06-09 2006-12-21 Hitachi Ltd Sensor network system and data processing method for sensor network system
WO2007079279A2 (en) * 2005-11-08 2007-07-12 Nortel Networks Limited Dynamic sensor network registry
US7876722B2 (en) * 2006-05-31 2011-01-25 Honeywell International Inc. System and method for wireless communication between wired field devices and control system components
US8073554B2 (en) * 2006-12-20 2011-12-06 Nortel Networks Limited System and method for providing power management in a sensor network
KR101020204B1 (en) 2007-07-23 2011-03-08 강릉원주대학교산학협력단 Method for routing in underwater sensor network based on hierarchical group
KR101472936B1 (en) * 2008-04-30 2014-12-17 삼성전자주식회사 P2P Network System And Operating Method based on a region thereof
WO2009138119A1 (en) * 2008-05-12 2009-11-19 Telefonaktiebolaget Lm Ericsson (Publ) Tracking network resources
US8787266B2 (en) * 2008-06-13 2014-07-22 Infineon Technologies Ag Medium access control in industrial and automotive wireless with combined wired and wireless sensor networks
CN101741715B (en) * 2008-11-20 2013-03-20 华为技术有限公司 Method for sending message, access routing node device and data cache system
EP2227063B1 (en) * 2009-03-04 2012-03-14 Fujitsu Limited Improvements to wireless sensor networks
US9179475B2 (en) 2009-03-20 2015-11-03 Innovative Wireless Technologies, Inc. Distributed ad hoc mesh network protocol for underground mine and hazardous area communications
US8885559B2 (en) 2009-03-20 2014-11-11 Innovative Wireless Technologies, Inc. Method and apparatus for reliable communications in underground and hazardous areas
US8738832B1 (en) 2009-06-30 2014-05-27 International Business Machines Corporation Microgrid apparatus with central area containing plural processors communicating via respective wireless connection point or bi-directional bus with module in docking bays defined by radial arms
US9154362B1 (en) 2009-08-14 2015-10-06 International Business Machines Corporation Macro grid governance and communication
CN101645807B (en) * 2009-09-04 2011-06-08 英华达(上海)科技有限公司 Detecting system and method for network online state
US8664911B1 (en) 2009-10-30 2014-03-04 International Business Machines Corporation Micro grid bridge structures
EP2522193A2 (en) * 2010-01-08 2012-11-14 InterDigital Patent Holdings, Inc. Method and apparatus for collecting and transmitting data
US8035337B1 (en) * 2010-02-03 2011-10-11 International Business Machines Corporation Micro grid sensor and actuator apparatus
US8180999B1 (en) 2010-02-03 2012-05-15 International Business Machines Corporation Vertically tiered horizontally expandable micro grid system with bridge docking bay contoured by radial arms extending from central hub for coupling processor or power hubs
CN102196424B (en) * 2010-03-09 2016-05-11 江苏联优信息科技有限公司 A kind of organization mechanism of centralized large-scale wireless Sensor Network and device
US8756412B2 (en) 2010-04-16 2014-06-17 Honeywell International Inc. Gateway supporting transparent redundancy in process control systems and other systems and related method
CN101831923B (en) * 2010-04-19 2011-07-27 中交天津港湾工程研究院有限公司 Automatic monitoring technical method for marine structures with underwater wireless transmission system
US8498201B2 (en) 2010-08-26 2013-07-30 Honeywell International Inc. Apparatus and method for improving the reliability of industrial wireless networks that experience outages in backbone connectivity
US20120191816A1 (en) * 2010-10-13 2012-07-26 Sonos Inc. Method and apparatus for collecting diagnostic information
US8924498B2 (en) 2010-11-09 2014-12-30 Honeywell International Inc. Method and system for process control network migration
US8935143B2 (en) * 2010-12-15 2015-01-13 IP Cube Partners Co., Ltd. Semiconductor sensor reliability
US8554762B1 (en) 2010-12-28 2013-10-08 Amazon Technologies, Inc. Data replication framework
US9449065B1 (en) * 2010-12-28 2016-09-20 Amazon Technologies, Inc. Data replication framework
US8780799B2 (en) * 2011-05-02 2014-07-15 Verizon Patent And Licensing Inc. Handling multiple voice over internet protocol (VoIP) calls via a single bearer
US9239574B2 (en) 2011-06-30 2016-01-19 Honeywell International Inc. Apparatus for automating field device operations by capturing device method execution steps for later use and related method
US9252915B1 (en) * 2012-08-15 2016-02-02 Washington State University Systematic adaptation of data delivery
CN103701694A (en) * 2012-09-27 2014-04-02 株式会社日立制作所 Gateway device and data processing method
US20160050040A1 (en) * 2013-05-09 2016-02-18 Mitsubishi Electric Corporation Radio communication system and radio communication method
US9191843B2 (en) 2013-06-12 2015-11-17 Honeywell International Inc. Apparatus and method for measuring and reporting redundant wireless connectivity over time
US9110838B2 (en) 2013-07-31 2015-08-18 Honeywell International Inc. Apparatus and method for synchronizing dynamic process data across redundant input/output modules
US9612587B2 (en) 2014-02-11 2017-04-04 Honeywell International Inc. Mobile extension for industrial operator consoles
PL3108692T3 (en) * 2014-02-21 2018-02-28 Ericsson Telefon Ab L M Method and node for selecting a message box
US10878323B2 (en) 2014-02-28 2020-12-29 Tyco Fire & Security Gmbh Rules engine combined with message routing
US9792129B2 (en) * 2014-02-28 2017-10-17 Tyco Fire & Security Gmbh Network range extender with multi-RF radio support for plurality of network interfaces
US9513364B2 (en) 2014-04-02 2016-12-06 Tyco Fire & Security Gmbh Personnel authentication and tracking system
US9720404B2 (en) 2014-05-05 2017-08-01 Honeywell International Inc. Gateway offering logical model mapped to independent underlying networks
US10042330B2 (en) 2014-05-07 2018-08-07 Honeywell International Inc. Redundant process controllers for segregated supervisory and industrial control networks
US9609524B2 (en) 2014-05-30 2017-03-28 Honeywell International Inc. Apparatus and method for planning and validating a wireless network
US10536526B2 (en) 2014-06-25 2020-01-14 Honeywell International Inc. Apparatus and method for virtualizing a connection to a node in an industrial control and automation system
US9699022B2 (en) 2014-08-01 2017-07-04 Honeywell International Inc. System and method for controller redundancy and controller network redundancy with ethernet/IP I/O
US10803720B2 (en) 2014-08-13 2020-10-13 Tyco Safety Products Canada Ltd. Intelligent smoke sensor with audio-video verification
US10592306B2 (en) * 2014-10-03 2020-03-17 Tyco Safety Products Canada Ltd. Method and apparatus for resource balancing in an automation and alarm architecture
US10084638B2 (en) 2014-08-13 2018-09-25 Tyco Safety Products Canada Ltd. Method and apparatus for automation and alarm architecture
US10148485B2 (en) 2014-09-03 2018-12-04 Honeywell International Inc. Apparatus and method for on-process migration of industrial control and automation system across disparate network types
US10162827B2 (en) 2015-04-08 2018-12-25 Honeywell International Inc. Method and system for distributed control system (DCS) process data cloning and migration through secured file system
US10409270B2 (en) 2015-04-09 2019-09-10 Honeywell International Inc. Methods for on-process migration from one type of process control device to different type of process control device
JP6733219B2 (en) * 2016-03-03 2020-07-29 オムロン株式会社 Management device, management system, management method, and management program
US10003549B2 (en) * 2016-04-21 2018-06-19 Google Llc System for allocating sensor network resources
CN106055078B (en) * 2016-05-31 2019-03-01 Oppo广东移动通信有限公司 A kind of sensor processing method of mobile terminal, device and mobile terminal
EP3574681B1 (en) * 2017-01-25 2023-09-20 Airties SAS Island topologies and routing in hybrid mesh networks
US10296482B2 (en) 2017-03-07 2019-05-21 Honeywell International Inc. System and method for flexible connection of redundant input-output modules or other devices
US10401816B2 (en) 2017-07-20 2019-09-03 Honeywell International Inc. Legacy control functions in newgen controllers alongside newgen control functions

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1441320A1 (en) * 2001-10-12 2004-07-28 Omron Corporation INFORMATION PROCESSOR, SENSOR NETWORK SYSTEM, INFORMATION PROCESSING PROGRAM, COMPUTER−READABLE RECORDED MEDIUM ON WHICH INFORMATION PROCESSING PROGRAM IS RECORDED, AND INFORMATION PROCESSING METHOD FOR SENSOR NETWORK SYSTEM
US20050060202A1 (en) * 2002-05-31 2005-03-17 Richard Taylor System and method for coupling a plurality of medical devices in serverless grid
WO2006045793A1 (en) * 2004-10-25 2006-05-04 International Business Machines Corporation Method, system and program product for deploying and allocating an autonomic sensor network

Family Cites Families (63)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2721129A (en) 1953-01-13 1955-10-18 Us Rubber Co Herbicidal composition
US3828306A (en) 1973-01-08 1974-08-06 P Angeloni Highway distress system
US5389935A (en) 1990-06-13 1995-02-14 Thomson-Csf Automatic system for locating and identifying vehicles in distress
US5504717A (en) 1994-05-27 1996-04-02 Alliant Techsystems Inc. System for effective control of urban environment security
FR2721129A1 (en) 1994-06-10 1995-12-15 Camille Heron Accident detection system for use on main roads
US5565858A (en) 1994-09-14 1996-10-15 Northrop Grumman Corporation Electronic inventory system for stacked containers
JPH08249133A (en) 1994-12-15 1996-09-27 Internatl Business Mach Corp <Ibm> Method and system for measures against fault of disk drive array
US5774876A (en) 1996-06-26 1998-06-30 Par Government Systems Corporation Managing assets with active electronic tags
US5804810A (en) 1996-06-26 1998-09-08 Par Government Systems Corporation Communicating with electronic tags
US6169476B1 (en) 1997-02-18 2001-01-02 John Patrick Flanagan Early warning system for natural and manmade disasters
JP3520440B2 (en) 1998-03-12 2004-04-19 作治 藏田 Method of using the entire pipeline in underground objects and structures as a comprehensive crisis prediction warning sensor and a comprehensive crisis prediction disaster prevention monitoring system
US6269452B1 (en) 1998-04-27 2001-07-31 Cisco Technology, Inc. System and method for fault recovery for a two line bi-directional ring network
US6437692B1 (en) * 1998-06-22 2002-08-20 Statsignal Systems, Inc. System and method for monitoring and controlling remote devices
US6414955B1 (en) 1999-03-23 2002-07-02 Innovative Technology Licensing, Llc Distributed topology learning method and apparatus for wireless networks
DE19935043B4 (en) 1999-07-26 2005-12-01 Moeller Gmbh Circuit arrangement for the electronic control of a drive coil
US6293861B1 (en) 1999-09-03 2001-09-25 Kenneth M. Berry Automatic response building defense system and method
US6693511B1 (en) 1999-09-24 2004-02-17 Ge Interlogix, Inc. System and method for communicating with dormant radio frequency identification tags
US20020103907A1 (en) 2000-06-20 2002-08-01 Erik Petersen System and method of storing data to a recording medium
EP1182542A1 (en) * 2000-07-21 2002-02-27 Hewlett Packard Company, a Delaware Corporation On-line selection of print service provider in distributed print on demand service
KR100376100B1 (en) 2000-07-24 2003-03-15 주식회사 탑시스템 Remote sensing system of structure
JP3922871B2 (en) 2000-09-18 2007-05-30 松下電器産業株式会社 Notification device and notification method
US6735448B1 (en) 2000-11-07 2004-05-11 Hrl Laboratories, Llc Power management for throughput enhancement in wireless ad-hoc networks
US6614351B2 (en) 2000-12-07 2003-09-02 Sap Aktiengesellschaft Computerized system for automatically monitoring processing of objects
US6934540B2 (en) 2000-12-22 2005-08-23 Seekernet, Inc. Network formation in asset-tracking system based on asset class
US7200132B2 (en) 2000-12-22 2007-04-03 Terahop Networks, Inc. Forming ad hoc RSI networks among transceivers sharing common designation
US7277950B1 (en) 2000-12-29 2007-10-02 Swarmcast, Inc. Packet transfer mechanism over a peer to peer network
DE10101805A1 (en) 2001-01-17 2002-07-18 Siemens Ag Networks of switches, programmable devices, PCs or measurement transformers having distributed storage of network parameters and configuration details, so that if a component is replaced or repaired it is readily reconfigured
US7222166B2 (en) 2001-01-25 2007-05-22 Bandspeed, Inc. Approach for managing communications channels based on performance and transferring functions between participants in a communications arrangement
EP1360796B1 (en) 2001-01-26 2009-12-23 American Power Conversion Corporation Method and system for a set of network appliances which can be connected to provide enhanced collaboration, scalability, and reliability
US7177950B2 (en) 2001-04-26 2007-02-13 Microsoft Corporation Synchronization and recovery of peers in a peer to peer environment
US7277414B2 (en) 2001-08-03 2007-10-02 Honeywell International Inc. Energy aware network management
WO2003037009A1 (en) 2001-10-23 2003-05-01 Meshnetworks, Inc. System and method for providing a congestion optimized address resolution protocol for wireless ad-hoc networks
US7096125B2 (en) * 2001-12-17 2006-08-22 Honeywell International Inc. Architectures of sensor networks for biological and chemical agent detection and identification
US6684137B2 (en) 2001-12-29 2004-01-27 Yokogawa Electric Corporation Traffic accident recording system
US20030151513A1 (en) * 2002-01-10 2003-08-14 Falk Herrmann Self-organizing hierarchical wireless network for surveillance and control
US7483403B2 (en) * 2002-01-10 2009-01-27 Robert Bosch Gmbh Protocol for reliable, self-organizing, low-power wireless network for security and building automation systems
US20030137415A1 (en) 2002-01-22 2003-07-24 Thomson James D. Homeland security emergency notification system
US7860680B2 (en) 2002-03-07 2010-12-28 Microstrain, Inc. Robotic system for powering and interrogating sensors
US20040028023A1 (en) 2002-04-18 2004-02-12 Sarnoff Corporation Method and apparatus for providing ad-hoc networked sensors and protocols
US20030212821A1 (en) 2002-05-13 2003-11-13 Kiyon, Inc. System and method for routing packets in a wired or wireless network
US6696942B2 (en) 2002-05-29 2004-02-24 Larry G. Sweatt Emergency warning network
US6947957B1 (en) 2002-06-20 2005-09-20 Unisys Corporation Proactive clustered database management
US7424514B2 (en) 2002-11-08 2008-09-09 The Regents Of The University Of Michigan Peer-to-peer method and system for performing and managing backups in a network of nodes
US6795786B2 (en) 2002-12-31 2004-09-21 Intel Corporation Robotic sensor calibration system
US7366104B1 (en) * 2003-01-03 2008-04-29 At&T Corp. Network monitoring and disaster detection
US6888459B2 (en) 2003-02-03 2005-05-03 Louis A. Stilp RFID based security system
US7019639B2 (en) 2003-02-03 2006-03-28 Ingrid, Inc. RFID based security network
US7639134B2 (en) 2003-05-07 2009-12-29 Savi Technology, Inc. Item-level visibility of nested and adjacent containers
US7081818B2 (en) 2003-05-19 2006-07-25 Checkpoint Systems, Inc. Article identification and tracking using electronic shadows created by RFID tags
US20050087235A1 (en) 2003-10-22 2005-04-28 Skorpik James R. Sensor assembly, system including RFID sensor assemblies, and method
US7148803B2 (en) 2003-10-24 2006-12-12 Symbol Technologies, Inc. Radio frequency identification (RFID) based sensor networks
US7423527B2 (en) 2004-02-13 2008-09-09 Blue Vector Systems Radio frequency identification (RFID) network system and method
US7231180B2 (en) 2004-03-24 2007-06-12 Honeywell International, Inc. Aircraft engine sensor network using wireless sensor communication modules
DE102004014562A1 (en) 2004-03-25 2005-10-20 Atmel Germany Gmbh Data transmission methods in RFID and remote sensor systems
US7317898B2 (en) 2004-03-31 2008-01-08 Searete Llc Mote networks using directional antenna techniques
US7475158B2 (en) 2004-05-28 2009-01-06 International Business Machines Corporation Method for enabling a wireless sensor network by mote communication
US7460549B1 (en) * 2004-06-18 2008-12-02 Honeywell International Inc. Resource management for ad hoc wireless networks with cluster organizations
US7089099B2 (en) 2004-07-30 2006-08-08 Automotive Technologies International, Inc. Sensor assemblies
JP2006067160A (en) 2004-08-26 2006-03-09 Fujitsu Ltd Radio tag system, radio tag access control device, radio tag access control method, radio tag access control program, and radio tag
US20060080819A1 (en) 2004-09-14 2006-04-20 Mcallister Clarke W Systems and methods for deployment and recycling of RFID tags, wireless sensors, and the containers attached thereto
US7769848B2 (en) 2004-09-22 2010-08-03 International Business Machines Corporation Method and systems for copying data components between nodes of a wireless sensor network
US7715308B2 (en) 2004-12-09 2010-05-11 Honeywell International Inc. Fault tolerance in a wireless network
US7722838B2 (en) * 2005-07-19 2010-05-25 Grahn - Monde Groupe De Reflexion & D'action System and device for prevention and neutralization of bioactive substances and generating an aroma-producing substance

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1441320A1 (en) * 2001-10-12 2004-07-28 Omron Corporation INFORMATION PROCESSOR&comma; SENSOR NETWORK SYSTEM&comma; INFORMATION PROCESSING PROGRAM&comma; COMPUTER&minus;READABLE RECORDED MEDIUM ON WHICH INFORMATION PROCESSING PROGRAM IS RECORDED&comma; AND INFORMATION PROCESSING METHOD FOR SENSOR NETWORK SYSTEM
US20050060202A1 (en) * 2002-05-31 2005-03-17 Richard Taylor System and method for coupling a plurality of medical devices in serverless grid
WO2006045793A1 (en) * 2004-10-25 2006-05-04 International Business Machines Corporation Method, system and program product for deploying and allocating an autonomic sensor network

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
HONG-LINH TRUONG ET AL: "Self-Managing Sensor-Based Middleware for Performance Monitoring and Data Integration in Grids", PARALLEL AND DISTRIBUTED PROCESSING SYMPOSIUM, 2005. PROCEEDINGS. 19TH IEEE INTERNATIONAL DENVER, CO, USA 04-08 APRIL 2005, PISCATAWAY, NJ, USA,IEEE, 4 April 2005 (2005-04-04), pages 13b - 13b, XP010785499, ISBN: 0-7695-2312-9 *
MARSH D ET AL: "Autonomic wireless sensor networks", ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, PINERIDGE PRESS, SWANSEA, GB, vol. 17, no. 7, October 2004 (2004-10-01), pages 741 - 748, XP004653767, ISSN: 0952-1976 *
STEPHEN CHILDS ET AL: "Deployment of Grid Gateways Using Virtual Machines", EGC 2005, LNCS 3470, 14 February 2005 (2005-02-14), pages 761 - 770, XP019012042 *
WEI CUI ET AL: "Grid Gateway: Message-Passing between Separated Cluster Interconnects", GCC 2003, LNCS 3032, 2004, pages 724 - 731, XP019004628 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2009223403A (en) * 2008-03-13 2009-10-01 Toshiba Corp Control system,device,method
WO2012103400A1 (en) * 2011-01-28 2012-08-02 Cisco Technology, Inc. A hierarchical network for collecting, aggregating, indexing, and searching sensor data
WO2014006264A1 (en) * 2012-07-05 2014-01-09 Nokia Corporation Method and apparatus for sensor data processing
US20150189007A1 (en) * 2012-07-05 2015-07-02 Nokia Corporation Method and apparatus for sensor data processing
US10834184B2 (en) 2012-07-05 2020-11-10 Nokia Corporation Sending a sensor node a request for sensor data that identifies another node to process the data
WO2016163906A1 (en) * 2015-04-08 2016-10-13 Siemens Aktiengesellschaft Monitoring of a mechanical device
US9652963B2 (en) 2015-07-29 2017-05-16 Dell Products, Lp Provisioning and managing autonomous sensors
CN114760341A (en) * 2022-06-13 2022-07-15 深圳市玄羽科技有限公司 Intelligent control remote operation and maintenance platform and method for industrial internet equipment
CN114760341B (en) * 2022-06-13 2022-09-30 深圳市玄羽科技有限公司 Intelligent control remote operation and maintenance platform and method for industrial internet equipment

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