射频能量捕获异构无线传感网的能量源最少化布置方法

发布时间：2018-03-18 22:00

本文选题：异构无线传感器网络　切入点：射频能量捕获　出处：《计算机科学》2017年01期 　论文类型：期刊论文

【摘要】：电池供电的无线传感器网络的应用由于电池更换的不便利甚至不可能而受到极大的限制。考虑具有射频能量捕获能力的异构无线传感器网络,网络节点的能量捕获输出功率需求不一样。在已知传感节点数目和位置的情况下,研究如何布置射频能量源(Energy Transmitters,ETs)从而满足所有节点的能量捕获输出功率需求并且最小化ETs数目。首先建模出该最少化ETs的布置问题,为深入了解该问题提供了理论基础;然后提出了一种复杂度较低的贪婪式ETs布置方法和一种复杂度略高些的基于粒子群优化的ETs布置方法。仿真结果表明,与贪婪式方法相比,基于粒子群优化的方法能找到ETs略微更少的布置方案,但其由于复杂度略高,因此可用于节点数目不是很多的场景,而贪婪式方法则可用于节点数目较多的场景。
[Abstract]:The application of battery-powered wireless sensor networks is greatly limited by the inconvenient or even impossible replacement of batteries. The energy capture output power requirements of network nodes are different. When the number and location of sensor nodes are known, In order to satisfy the energy capture output power requirement of all nodes and minimize the number of ETs, this paper studies how to arrange the RF energy source, Energy Transmitters (ETS). Firstly, the layout problem of the minimized ETs is established, which provides a theoretical basis for further understanding the problem. Then, a greedy ETs layout method with lower complexity and a slightly more complex ETs layout method based on particle swarm optimization are proposed. The simulation results show that the proposed method is more efficient than the greedy one. Particle Swarm Optimization (PSO) can find a slightly less ETs layout scheme, but because of its high complexity, it can be used in scenarios where the number of nodes is not large, while greedy method can be used in scenarios with a large number of nodes.
【作者单位】：浙江工业大学计算机科学与技术学院;浙江省可视媒体智能处理技术研究重点实验室;
【基金】：国家自然科学基金(61472367,61432015) 浙江省自然科学基金(LY15F020029,LY15F020027)资助
【分类号】：TN929.5;TP212.9

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