Journal on Communications ›› 2019, Vol. 40 ›› Issue (4): 62-70.doi: 10.11959/j.issn.1000-436x.2019097

• Papers • Previous Articles     Next Articles

Research on WSN lifetime optimization game algorithm combined power and channel

Xiaochen HAO1,Ning YAO1,2,Lixia XIE1,Jiaojiao WANG1,Liyuan WANG1   

  1. 1 School of Electrical Engineering,Yanshan University,Qinhuangdao 066004,China
    2 Department of Haibin College,Beijing Jiaotong University,Huanghua 061199,China
  • Revised:2019-03-23 Online:2019-04-25 Published:2019-05-05
  • Supported by:
    The National Natural Science Foundation of China(61403336);The National Natural Science Foundation of China(61802333);The Natural Science Foundation of Hebei Province(F2015203342);The Cangzhou Plan Guide Project for Key Research(172103004);The Independent Research Project Topics B Category for Young Teacher of Yanshan University(15LGB007)

Abstract:

Due to the problem of shortening the network lifetime which was caused by the big energy consumption for wireless sensor network (WSN) whose energy and computing power was limit,a lifetime optimization game algorithm combined power control and channel allocation (LOAPC) was proposed.The influence of node power and residual energy on the node interference was explored to construct an interference affection measurement model.Then,expected transmission times was introduced to establish a novel node lifetime model.Finally,LOAPC aimed at reducing interference and prolonging lifetime,and the node power was limited by an optional power set which ensured the network connectivity and economized energy consumption,so as to prolong the network lifetime effectively.At the same time,the simulation results show that the algorithm has the characteristics of low interference,low energy consumption and effectively prolonging the lifetime of the network.

Key words: wireless sensor network, lifetime optimization game algorithm, power control, channel allocation

CLC Number: 

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