An Opportunistic Charger Recollection Algorithm for Wireless Rechargeable Sensor Networks

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Grid and High Performance Computing Pub Date : 2023-01-13 DOI:10.4018/ijghpc.316151
Ronglin Hu, Xiaomin Chen, Chengjie Xu
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Abstract

Wireless rechargeable sensor networks (WRSNs) have received a lot of attention due to the development of wireless charging technology. Recently, a new solution of wireless charging vehicle (WCV) for WRSNs with separable charger array equipped with multiple chargers was suggested. By this method, each charger can be unloaded to serve one sensor, while the WCV can work in a very efficient way because it needs not to stay on site and can continue to perform its assigned task. But this solution created a new problem that is how to recollect these chargers for reusing when their charging services are finished. In previous research, however, the recollecting strategy has seldom been considered. In this work, an effectively opportunistic charger recollection algorithm (OCRA) are proposed. Simulation results indicate that OCRA has outperformed previous algorithms in many aspects.
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一种无线可充电传感器网络的机会式充电器回收算法
随着无线充电技术的发展,无线充电传感器网络(WRSNs)受到了广泛的关注。近年来,提出了一种基于可分离充电器阵列的无线充电车(WCV)方案。通过这种方法,每个充电器可以卸载以服务于一个传感器,而WCV可以以非常有效的方式工作,因为它不需要留在现场,可以继续执行其分配的任务。但是,这种解决方案产生了一个新问题,即如何在充电服务结束时重新收集这些充电器以供重用。然而,在以往的研究中,很少考虑到记忆策略。本文提出了一种有效的机会充电器回收算法(OCRA)。仿真结果表明,该算法在许多方面都优于现有算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.70
自引率
10.00%
发文量
24
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