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M2M Device Redundant Backup System Based on ad Hoc Network System

  • Yichun Yu
  • , Xiaoyi Yang*
  • , Yuqing Lan*
  • , Zhihuan Xing
  • , Dan Yu
  • , Han Zheng
  • , Danxing Wang
  • *Corresponding author for this work
  • Beihang University
  • China Standard Intelligent Security Co., Ltd.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid proliferation of IoT (Internet of Things) technologies, ensuring reliable and continuous operation of M2M (machine to machine) communications has become paramount. This paper presents the design and implementation of a redundant backup system tailored for M2M devices, utilizing an ad hoc network system. The proposed architecture is systematically divided into three layers: the physical layer, network layer, and application layer, each meticulously crafted to address the specific constraints and demands inherent to IoT devices. At the physical layer, considerations are given to the hardware specifications and energy consumption of M2M devices. The network layer focuses on establishing robust, self-organizing ad hoc network protocols to ensure seamless connectivity and data transmission between devices. Meanwhile, the application layer is designed to manage data redundancy, recovery processes, and system monitoring, ensuring that the backup mechanism operates efficiently under varying conditions. Through the integration of this multi-layered device redundant backup solution, the system guarantees continuous operation and enhances reliability in M2M scenarios. Extensive testing and simulation results demonstrate the effectiveness of the proposed system in maintaining data integrity and operational resilience, even in the face of network disruptions and hardware failures. This study offers a comprehensive framework for improving the robustness of M2M communications, contributing to the advancement of IoT technologies.

Original languageEnglish
Title of host publication2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems, ICPICS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages772-777
Number of pages6
ISBN (Electronic)9798350374315
DOIs
StatePublished - 2024
Event6th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2024 - Shenyang, China
Duration: 26 Jul 202428 Jul 2024

Publication series

Name2024 IEEE 6th International Conference on Power, Intelligent Computing and Systems, ICPICS 2024

Conference

Conference6th IEEE International Conference on Power, Intelligent Computing and Systems, ICPICS 2024
Country/TerritoryChina
CityShenyang
Period26/07/2428/07/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Ad Hoc Network
  • M2M
  • Redundancy

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