通信学报 ›› 2017, Vol. 38 ›› Issue (Z2): 1-7.doi: 10.11959/j.issn.1000-436x.2017276

• 学术论文 •    下一篇

能量捕获协作中继网络多中继节点选择策略

田贤忠,郭敏,何佳存,刘高,祝驿楠   

  1. 浙江工业大学计算机科学系,浙江 杭州 310023
  • 出版日期:2017-11-01 发布日期:2018-06-07
  • 作者简介:田贤忠(1968-),男,浙江杭州人,博士,浙江工业大学教授,主要研究方向为网络编码、移动计算和无线网络协议优化等。|郭敏(1992-),男,浙江东阳人,浙江工业大学硕士生,主要研究方向为可充电传感器网络、无线协助中继网络等。|何佳存(1992-),男,浙江金华人,浙江工业大学硕士生,主要研究方向为可充电传感器网络、移动收集数据策略等。|刘高(1991-),男,湖北洪湖人,浙江工业大学硕士生,主要研究方向为可充电传感器网络、无源感知网络等。|祝驿楠(1997-),男,浙江杭州人,主要研究方向为可充电传感器网络、无线自组织网络等。
  • 基金资助:
    国家自然科学基金资助项目(61672465);国家自然科学基金资助项目(61772472);浙江省自然科学基金资助项目(LY15F020027);浙江省自然科学基金资助项目(LY17F020020)

Multi relay node selection strategy for energy capture collaborative relay network

Xian-zhong TIAN,Min GUO,Jia-cun HE,Gao LIU,Yi-nan ZHU   

  1. Department of Computer Science,Zhejiang University of Technology,Hangzhou 310023,China
  • Online:2017-11-01 Published:2018-06-07
  • Supported by:
    The National Natural Science Foundation of China(61672465);The National Natural Science Foundation of China(61772472);The Natural Science Foundation of Zhejiang Province(LY15F020027);The Natural Science Foundation of Zhejiang Province(LY17F020020)

摘要:

研究了一种能量捕获协作中继网络,与传统协作中继网络不同,中继节点一般没有固定的能量供应但可以进行能量捕获。对于这种网络,一个自然的问题就是如何决定中继点是该进行能量捕获还是数据转发,以及如何选择中继节点以协助信息在源节点与目的节点间的传输。基于这个问题,提出一种多中继节点选择方案,该方案根据中继节点当前时隙的能量来选择其操作。在每个时隙中,满足电池阈值要求的中继节点会被选择进行协助传输。利用马尔可夫链对中继节点电池的充放电过程来进行建模化,得出该无线网络达到稳定状态时的中断概率以及吞吐率表达式,并对使吞吐率最大,即网络中断概率最小时的电池阈值的取值进行求解。最后,通过数值实验验证方案的优点。

关键词: 无线网络, 能量捕获, 协作中继, 马尔可夫链

Abstract:

An energy capture cooperative relay network was studied.Unlike traditional cooperative relay networks,the relay nodes generally did not have a fixed energy supply but could carry out energy capture.For this network,a natural question was how to determine whether the relay nodes perform energy capture or data forwarding,and how to select the relay node to assist the information transmission between the source node and the destination node.Based on this problem,a multi-relay node selection scheme was proposed,which select the operation according to the energy of the current time slot of the relay node.In each time slot,the relay node that meet the battery threshold requirements was selected to assist in transmission.The Markov chain was used to model the charging and discharging process of the relay node battery,and the probability of interruption and throughput of the wireless network was obtained.And the value of the battery threshold when the throughput was maximized,that is,when the probability of network breakage was minimum was solved.Finally,the advantages of this scheme were verified by numerical experiments.

Key words: wireless network, energy capture, collaborative relay, Markov chain

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