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Toward the Minimal Wait-for Delay for Rechargeable WSNs with Multiple Mobile Chargers

Published: 20 April 2023 Publication History

Abstract

Nowadays, the flourish of the internet of things incurs a great demand for progressive technologies to prolong the lifetime of Wireless Sensor Networks. Exploiting a fleet of Mobile Chargers (MCs) to replenish the energy-critical sensor nodes provides a new dimension to maintain long-term network operations, but may suffer from high charging delay due to MC’s limited mobility. Most existing studies focus on the reduction of server-oriented delay, i.e., the overall time taken by MCs (servers) to carry out sensor charging and travel inside the sensing field. However, these solutions may not be robust enough as some energy-critical sensor nodes will run out of the stored energy before the charger’s arrival. In this article, we address this challenge by reducing the client-oriented delay—referred to as the wait-for delay—which is defined as the “arrival times” at the to-be-charged sensor nodes (clients). To this end, we first formulate a novel wait-for charging delay minimization problem under the multi-node energy charging scheme. We then prove the NP-hardness of the proposed problem. Inspired by empirical observations, we devise an efficient approximation algorithm with a provable approximation ratio for the problem. We have evaluated the proposed algorithm using real-life system settings. The experimental results suggest that the proposed algorithm certainly performs better than the existing benchmarks; it could reduce the wait-for delay by up to 87.4 percent.

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    Published In

    cover image ACM Transactions on Sensor Networks
    ACM Transactions on Sensor Networks  Volume 19, Issue 4
    November 2023
    622 pages
    ISSN:1550-4859
    EISSN:1550-4867
    DOI:10.1145/3593034
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    Association for Computing Machinery

    New York, NY, United States

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    Publication History

    Published: 20 April 2023
    Online AM: 17 January 2023
    Accepted: 15 December 2022
    Revised: 30 October 2022
    Received: 01 March 2022
    Published in TOSN Volume 19, Issue 4

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    Author Tags

    1. WSNs
    2. multiple chargers scheduling
    3. wait-for charging delay minimization
    4. approximation algorithm

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    • Industry-University-Research Innovation Fund of Chinese University by Ali Cloud Special Project
    • National Natural Science Foundation of China

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