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Resource Allocation for Heterogeneous Computing Tasks in Wirelessly Powered MEC-enabled IIOT Systems

Published: 16 January 2023 Publication History

Abstract

Integrating wireless power transfer with mobile edge computing (MEC) has become a powerful solution for increasingly complicated and dynamic industrial Internet of Things (IIOT) systems. However, the traditional approaches overlooked the heterogeneity of the tasks and the dynamic arrival of energy in wirelessly powered MEC-enabled IIOT systems. In this article, we formulate the problem of maximizing the product of the computing rate and the task execution success rate for heterogeneous tasks. To manage energy harvesting adaptively and select appropriate computing modes, we devise an online resource allocation and computation offloading approach based on deep reinforcement learning. We decompose this approach into two stages: an offloading decision stage and a stopping decision stage. The purpose of the offloading decision stage is to select the computing mode and dynamically allocate the computation round length for each task after learning from the channel state information and the task experience. This stage allows the system to support heterogeneous computing tasks. Subsequently, in the second stage, we adaptively adjust the number of fading slots devoted to energy harvesting in each round in accordance with the status of each fading slot. Simulation results show that our proposed algorithm can better allocate resources for heterogeneous tasks and reduce the ratio of failed tasks and energy consumption when compared with several existing algorithms.

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  • (2024)Reliable Task Offloading in Sustainable Edge Computing with Imperfect Channel State InformationIEEE Transactions on Network and Service Management10.1109/TNSM.2024.345656821:6(6423-6436)Online publication date: 1-Dec-2024
  • (2024)Multitask Computation Offloading Based on Evolutionary Multiobjective Optimization in Industrial Internet of ThingsIEEE Internet of Things Journal10.1109/JIOT.2024.334960911:9(15894-15908)Online publication date: 1-May-2024
  • (2023)Empowering smart cities: High-altitude platforms based Mobile Edge Computing and Wireless Power Transfer for efficient IoT data processingInternet of Things10.1016/j.iot.2023.10098624(100986)Online publication date: Dec-2023

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  1. Resource Allocation for Heterogeneous Computing Tasks in Wirelessly Powered MEC-enabled IIOT Systems

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    Published In

    cover image ACM Transactions on Management Information Systems
    ACM Transactions on Management Information Systems  Volume 14, Issue 1
    March 2023
    270 pages
    ISSN:2158-656X
    EISSN:2158-6578
    DOI:10.1145/3580447
    Issue’s Table of Contents

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 16 January 2023
    Online AM: 18 November 2022
    Accepted: 28 October 2022
    Revised: 19 October 2022
    Received: 23 December 2021
    Published in TMIS Volume 14, Issue 1

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    Author Tags

    1. Industrial Internet of Things
    2. mobile edge computing
    3. wireless power transfer
    4. heterogeneous computing tasks
    5. resource allocation

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    • Research-article
    • Refereed

    Funding Sources

    • National Natural Science Foundation of China
    • Opening Project of State Key Laboratory of Nickel and Cobalt Resources Comprehensive Utilization
    • Fundamental Research Funds for the Central Universities of Central South University

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    • (2024)Reliable Task Offloading in Sustainable Edge Computing with Imperfect Channel State InformationIEEE Transactions on Network and Service Management10.1109/TNSM.2024.345656821:6(6423-6436)Online publication date: 1-Dec-2024
    • (2024)Multitask Computation Offloading Based on Evolutionary Multiobjective Optimization in Industrial Internet of ThingsIEEE Internet of Things Journal10.1109/JIOT.2024.334960911:9(15894-15908)Online publication date: 1-May-2024
    • (2023)Empowering smart cities: High-altitude platforms based Mobile Edge Computing and Wireless Power Transfer for efficient IoT data processingInternet of Things10.1016/j.iot.2023.10098624(100986)Online publication date: Dec-2023

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