Optimum Partition for Wireless Charging Scheduling in Wireless Sensor Networks With Applications

IF 0.6 Q4 COMPUTER SCIENCE, THEORY & METHODS International Journal of Grid and High Performance Computing Pub Date : 2023-01-23 DOI:10.4018/ijghpc.316155
Zuoli Zhang, Wenfei Hu, Tung-Hsien Peng, Zexiang Zheng
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Abstract

Previous research on wireless charging did not discuss the problem of using optimal allocation to improve the network life cycle. The authors designed and analyzed a variety of network area cutting methods: rectangular cutting, square cutting, concentric circle cutting, sector cutting, and mixed cutting. Through simulation experiments, the difference between the survival time and the number of received packets is compared. The experimental results show that mixed cutting can calculate the expected energy consumption according to the energy consumption rate, and then allocate chargers according to the expected energy consumption, making the energy consumption burden of each charger more equitable. Compared with other partition methods, the load capacity distribution of each charger is more uniform. In terms of survival time and receiving message packets, the network can have a longer survival time, receive more message packets, and use the power consumption of each block more evenly and effectively.
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无线传感器网络中无线充电调度的最优分区及其应用
以往的无线充电研究并没有讨论利用最优分配来提高网络生命周期的问题。作者设计并分析了多种网络区域切割方法:矩形切割、方形切割、同心圆切割、扇形切割和混合切割。通过仿真实验,比较了生存时间与接收数据包数量的差异。实验结果表明,混合切割可以根据能耗率计算出预期能耗,然后根据预期能耗分配充电器,使每个充电器的能耗负担更加公平。与其他分区方法相比,每个充电器的负载能力分布更加均匀。在生存时间和接收消息包方面,网络可以有更长的生存时间,接收更多的消息包,更均匀有效地利用每个块的功耗。
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来源期刊
CiteScore
1.70
自引率
10.00%
发文量
24
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