Towards Perpetual Sensor Networks via Deploying Multiple Mobile Wireless Chargers

Wenzheng Xu, W. Liang, X. Lin, Guoqiang Mao, Xiaojiang Ren
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引用次数: 42

Abstract

In this paper, we study the use of multiple mobile charging vehicles to charge sensors in a large-scale wireless sensor network for a given monitoring period, where sensors can be charged by the vehicles with wireless power transfer. Since each sensor may experience multiple charges to avoid its energy expiration for the period, we first consider a charging problem of scheduling the multiple mobile vehicles to collaboratively charge sensors so that none of the sensors will run out of its energy and the sum of traveling distance (referred to as the service cost) of these vehicles can be minimized. Due to NP-hardness of the problem, we then propose a novel approximation algorithm for it, assuming that sensor energy consumption rates do not change over time. Otherwise, we devise a heuristic algorithm through minor modifications to the approximation algorithm. We finally evaluate the performance of the proposed algorithms via simulations. Experimental results show that the proposed algorithms are very promising, which can reduce upto 45% of the service cost in comparison with the service cost delivered by a greedy algorithm.
通过部署多个移动无线充电器实现永久传感器网络
在本文中,我们研究了在给定的监测周期内,使用多辆移动充电车辆对大型无线传感器网络中的传感器进行充电,其中传感器可以通过无线电力传输由车辆充电。由于每个传感器可能会经历多次充电以避免其在一段时间内的能量过期,我们首先考虑了调度多辆移动车辆对传感器进行协同充电的充电问题,以使这些传感器的能量不会耗尽,并且这些车辆的行驶距离(称为服务成本)总和可以最小化。由于问题的np -硬度,我们提出了一种新的近似算法,假设传感器的能量消耗率不随时间变化。另外,我们通过对近似算法的微小修改设计了一种启发式算法。最后,我们通过仿真来评估所提出算法的性能。实验结果表明,该算法具有较好的应用前景,与贪婪算法相比,可将服务成本降低45%。
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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