计算机科学 ›› 2017, Vol. 44 ›› Issue (3): 128-131.doi: 10.11896/j.issn.1002-137X.2017.03.028

• 网络与通信 • 上一篇    下一篇

射频能量捕获无线传感网中占空比最佳的能量源布置方法

池凯凯,林一民,李燕君,程珍   

  1. 浙江工业大学计算机科学与技术学院 杭州310023;浙江省可视媒体智能处理技术研究重点实验室 杭州310023,浙江工业大学计算机科学与技术学院 杭州310023,浙江工业大学计算机科学与技术学院 杭州310023,浙江工业大学计算机科学与技术学院 杭州310023
  • 出版日期:2018-11-13 发布日期:2018-11-13
  • 基金资助:
    本文受国家自然科学基金(61472367,5),浙江省自然科学基金(LY15F020029,LY15F020027)资助

Energy Transmitter Placement to Optimize Duty Cycle of RF Energy Harvesting Wireless Sensor Networks

CHI Kai-kai, LIN Yi-min, LI Yan-jun and CHENG Zhen   

  • Online:2018-11-13 Published:2018-11-13

摘要: 无线射频能量传输技术在为下一代无线传感器网络供能方面具有广阔的应用前景。射频能量捕获无线传感网由于能量捕获速率非常有限,通常工作在极低的占空比模式下。因此这类无线传感器网络的一个基本问题就是如何配置给定数量的射频能量源(Energy Transmitters,ETs),从而最大化最糟糕(即具有最低能量捕获速率)节点的能量捕获速率,即最大化其占空比。首先对能量源最优化布置问题建模,为深入了解该问题提供理论基础;然后分别提出了贪婪式ETs布置方法和基于粒子群优化(Particle Swarm Optimization,PSO)的ETs布置方法。仿真结果显示, 相较于均匀布置方法,所提出的两种能量源布置方法能够极大地提高全网最低占空比。

关键词: 无线传感器网络,射频能量捕获,能量源布置,占空比最优

Abstract: Radio frequency (RF)-based wireless energy transfer is one of promising techniques to power the next-gene-ration wireless sensor networks (WSNs).Due to the very limited energy harvesting rate,the RF energy harvesting WSNs usually operate in the ultra low duty cycle mode.So one fundamental issue of this kind of WSNs is how to deploy a given number of energy transmitters (ETs) so as to maximize the minimum duty cycle of all nodes.Firstly,this paper analyzed this optimal ET placement problem so as to deeply and theoretically understand it.Then the greedy approach and the particle swarm optimization (PSO) based approach were presented for this problem.Simulation results show that the proposed approaches can significantly improve the duty cycle when compared to the even placement of ETs.

Key words: Wireless sensor networks,RF energy harvesting,Energy transmitter placement,Duty cycle optimization

[1] SAMPLE A P,YEAGER D J,POWLEDGE P S,et al.Design of an RFID-based battery-free programmable sensing platform[J].IEEE Transactions on Instrumentation and Measurement,2008,57(11):2608-2615.
[2] PARKS A N,LIU A,GOLLAKOTA S,et al.Turbochargingambient backscatter communication[C]∥ACM Conference on Special Interest Group on Data Communication (SIGCOMM).ACM,2014:619-630.
[3] EROL-KANTARCI M,Mouftah H T.Mission-aware placement of RF-based power transmitters in wireless sensor networks[C]∥2012 IEEE Symposium on Computers and Communications (ISCC).IEEE,2012:12-17.
[4] HE S,CHEN J,JIANG F,et al.Energy provisioning in wireless rechargeable sensor networks[J].IEEE Transactions on Mobile Computing,2013,12(10):1931-1942.
[5] FU L,CHENG P,GU Y,et al.Minimizing charging delay in wireless rechargeable sensor networks [C]∥IEEE Conference on Computer Communications (INFOCOM).IEEE,2013:2922-2930.
[6] LI Y,FU L,CHEN M,et al.RF-Based Charger Placement for Duty Cycle Guarantee in Battery-Free Sensor Networks[J].IEEE Communications Letters,2015,19(10):1802-1805.
[7] KENNEDY J,EBERHART R C.Particle swarm optimization.Encyclopedia of Machine Learning[C]∥ IEEE International Conference on Neural Networks.IEEE,1995:1942-1948.

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