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Experimental Demonstration of STT-MRAM-based Nonvolatile Instantly On/Off System for IoT Applications: Case Studies

Published: 27 January 2023 Publication History

Abstract

Energy consumption has been a big challenge for electronic devices, particularly for battery-powered Internet of Things (IoT) equipment. To address such a challenge, on the one hand, low-power electronic design methodologies and novel power management techniques have been proposed, such as nonvolatile memories and instantly on/off systems; on the other hand, the energy harvesting technology by collecting signals from human activity or the environment has attracted widespread attention in the IoT area. However, the system with self-powered energy harvesting may suffer frequent energy failures or fluctuating energy conditions, which degrade system reliability and user experience. Therefore, how to make the system under unreliable power inputs operate correctly and efficiently is one of the most critical issues for energy harvesting technology. In this article, we built an instantly on/off system based on nonvolatile STT-MRAM for IoT applications, which can instantly power on/off under different conditions of the harvested energy. The system powers on and operates normally when the harvested energy is enough (over the preset threshold); otherwise, the system powers off and stores the operational data back to the nonvolatile STT-MRAM. We described implementations of the hardware/software co-designed architecture (with image acquisition as an example) based on the commercialized 32 MB STT-MRAM, and we experimentally demonstrated the system functionality and efficiency under five typical energy harvesting scenarios, including radio frequency, thermal, solar, piezoelectric, and WIFI. Our experimental results show that the power consumption and data restore time were reduced by 15.1% and 714 times, respectively, in comparison with the DRAM-based counterpart.

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  1. Experimental Demonstration of STT-MRAM-based Nonvolatile Instantly On/Off System for IoT Applications: Case Studies

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      Published In

      cover image ACM Transactions on Embedded Computing Systems
      ACM Transactions on Embedded Computing Systems  Volume 22, Issue 2
      March 2023
      560 pages
      ISSN:1539-9087
      EISSN:1558-3465
      DOI:10.1145/3572826
      • Editor:
      • Tulika Mitra
      Issue’s Table of Contents

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      Association for Computing Machinery

      New York, NY, United States

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      Publication History

      Published: 27 January 2023
      Online AM: 05 July 2022
      Accepted: 23 June 2022
      Revised: 09 May 2022
      Received: 01 October 2021
      Published in TECS Volume 22, Issue 2

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      Author Tags

      1. Non-volatile memory
      2. instantly on/off system
      3. energy harvesting
      4. STT-MRAM
      5. IoT applications

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      • Research-article
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      Funding Sources

      • National Natural Science Foundation of China
      • International Collaboration Project
      • Beijing Nova Program from Beijing Municipal Science and Technology Commission
      • Beijing Natural Science Foundation

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      • (2024)A Detailed Study of SOT-MRAM as an Alternative to DRAM Primary Memory in Multi-Core EnvironmentIEEE Access10.1109/ACCESS.2024.335215112(7224-7243)Online publication date: 2024
      • (2024) Current-Induced Magnetization Switching Behavior in Perpendicular Magnetized L1 0 -MnAl/B2-CoGa Bilayer Chinese Physics Letters10.1088/0256-307X/41/5/05750341:5(057503)Online publication date: 1-May-2024
      • (2023)Toward Energy-Efficient Sparse Matrix-Vector Multiplication with near STT-MRAM Computing ArchitectureProceedings of the 28th Asia and South Pacific Design Automation Conference10.1145/3566097.3567859(222-227)Online publication date: 16-Jan-2023

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