Charging base Stations Deployment Algorithms for Wireless Rechargeable Sensor Networks

P. Wan, Baoyu Wu, Yuhua Cheng, Gaofeng Wang
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Abstract

One of the important problems in wireless rechargeable sensor networks is the deployment of charging base stations. Based on a convergent charging scheme, two new algorithms are proposed, by combining the solution of the Fermat point problem with the advantages of the greedy algorithm. Different from the existing solutions where the charging base stations are restricted on some special locations (like grid points), the charging base stations are more flexible in new algorithms. Instead of setting a charging circle, the specific variation of the power transfer efficiency with distance is used in the new algorithms to optimize the number of the charging base stations more accurately. The simulation results show that for different numbers of sensors, the proposed two algorithms can get a smaller number of base stations. Furthermore, the convex vertices priority algorithm has the advantage of less candidate base stations and consequently less time consuming.
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无线可充电传感器网络的充电基站部署算法
无线可充电传感器网络的一个重要问题是充电基站的部署。基于一种收敛收费方案,结合费马点问题的求解和贪心算法的优点,提出了两种新的收费算法。不同于现有的充电基站被限制在某些特定位置(如电网点)的解决方案,新算法的充电基站更加灵活。新算法不设置充电圈,而是利用能量传输效率随距离的特定变化规律,更精确地优化充电基站的数量。仿真结果表明,对于不同数量的传感器,所提出的两种算法可以得到较少数量的基站。此外,凸顶点优先算法具有候选基站较少、耗时较短的优点。
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