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Nonvolatile Memory-Based Internet of Things: A Survey

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Artificial Intelligence-based Internet of Things Systems

Part of the book series: Internet of Things ((ITTCC))

Abstract

Nonvolatile memory (NVM), such as NAND flash memory, resistive random access memory (ReRAM), ferroelectric RAM (FeRAM), etc., has been used widely in Internet of Thing (IoT) systems as a secondary storage. These types have the benefits of high performance, high scalability, and less area space. However, NVMs still have many challenges such as lifespan, vulnerable for attack, and cost. In this chapter, we present a survey of techniques that have been introduced to exploit the pros and mitigate the cons of NVMs when used for designing IoT systems. We classify these techniques along several dimensions to highlight their similarities and differences. Keeping in consideration that NVMs are rapidly growing in IoT systems, we believe that this chapter will encourage and motivate further researcher and scientists in the field of software technology for NVM-based IoT.

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Notes

  1. 1.

    We use the following acronyms frequently in this chapter: application programming interface (API), convolution neural network (CNN), deep neural network (DNN), dynamic RAM (DRAM), embedded flash (eFlash), erasable programmable read-only memory (EPROM), error-correcting code (ECC), polyethylene glycol dimethacrylate (pEGDMA), execute in place (XIP), flash translation layer (FTL), finite impulse response filter (FIR), garbage collection (GC), hard disk drive (HDD), initiated chemical vapor deposition (iCVD), Landau-Lifshitz-Gilbert (LLG), magnetic RAM (MRAM), magnetic tunneling junction (MTJ), microcontroller unit (MCU), nonvolatile large-scale integrated (NV-LSI), one-state error recovery (OER), phase-change memory (PCM), polymer-intercalated resistive random access memory (i-RRAM), radio-frequency identification (RFID), self-write termination (SWT), silicon-oxide-nitride-oxide-silicon (SONOS), single NVM-based self-write termination (SWT1R-nvFF), single/multi/triple level cell (SLC/MLC/TLC), solid-state disk (SSD), spin-transfer torque random access memory (STT-RAM), static RAM (SRAM), storage class memory (SCM), storage memory management unit (SMMU), store energy (ES), structured query language (SQL), system on chip (SOC), ternary content-addressable memory (TCAM), true random number generator using write speed variation of oxide-based RRAM (TRNG-UWSVOR), and ultra large-scale integration (ULSI).

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Author information

Authors and Affiliations

  1. Department of Information Technology, Faculty of Engineering and Information Technology, Israa University, Gaza, Palestine

    Ahmed Izzat Alsalibi & Riham Muqat

  2. The Custodian of the Two Holy Mosques Institute for Hajj and Umrah Research, Umm Al-Qura University, Mecca, Saudi Arabia

    Mohd Khaled Yousef Shambour

  3. Department of Geomatics, Faculty of Architecture and Planning, King Abdulaziz University, Jeddah, Saudi Arabia

    Muhannad A. Abu-Hashem

  4. Department of Software Engineering, The World Islamic Science and Education University, Amman, Jordan

    Mohammad Shehab

  5. Department of Software Engineering, Al-Ahliyya Amman University, Amman, Jordan

    Qusai Shambour

Authors
  1. Ahmed Izzat Alsalibi
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  2. Mohd Khaled Yousef Shambour
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  3. Muhannad A. Abu-Hashem
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  4. Mohammad Shehab
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  5. Qusai Shambour
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  6. Riham Muqat
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Correspondence to Ahmed Izzat Alsalibi .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, Sister Nivedita University, Kolkata, West Bengal, India

    Souvik Pal

  2. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, West Bengal, Kolkata, West Bengal, India

    Debashis De

  3. School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Alsalibi, A.I., Shambour, M.K.Y., Abu-Hashem, M.A., Shehab, M., Shambour, Q., Muqat, R. (2022). Nonvolatile Memory-Based Internet of Things: A Survey. In: Pal, S., De, D., Buyya, R. (eds) Artificial Intelligence-based Internet of Things Systems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-030-87059-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-87059-1_11

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  • Online ISBN: 978-3-030-87059-1

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