计算机工程与应用2019，Vol.55Issue(12)：97-102,6.DOI:10.3778/j.issn.1002-8331.1805-0074
基于演化博弈的无线传感器网络分簇算法
Clustering Algorithm Based on Evolutionary Game for Wireless Sensor Network
摘要
Abstract
Aiming at the problem of energy hole arising from overloaded nodes and unbalanced energy consumption in wireless sensor network, evolutionary game theory is used to establish a game model of the cluster head race, and an opti-mal clustering algorithm based on evolutionary game for wireless sensor networks is proposed in this paper. The residual energy of nodes, data receiving energy consumption and data forwarding energy consumption are used to design the reve-nue function of cluster head in the evolutionary game model, and the optimal transmit power control mechanism is applied to the selection of cluster members, thereby forming a stable connected network clustering structure. The simulation results show that the algorithm balances the load of nodes and the energy of the network. It also effectively improves the premature emergence of energy holes in the network and extends the network lifetime.关键词
无线传感器网络/演化博弈/分簇/能耗均衡Key words
wireless sensor network/ evolutionary game/clustering/ energy balance分类
信息技术与安全科学引用本文复制引用
王慧娇,邱赞,蒋华..基于演化博弈的无线传感器网络分簇算法[J].计算机工程与应用,2019,55(12):97-102,6.基金项目
广西可信软件重点实验室研究课题(No.kx201724). （No.kx201724）
