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基于遗传聚类的无线传感器负载均衡路由算法
引用本文:朱永娇,阎巍,左伟明. 基于遗传聚类的无线传感器负载均衡路由算法[J]. 国外电子元器件, 2011, 0(11): 4-7
作者姓名:朱永娇  阎巍  左伟明
作者单位:长沙学院计算机科学与技术系;湖南城市学院计算机科学系;
基金项目:湖南省教育厅科研项目(09C210,09C124); 湖南省科技计划项目(2010FJ6012)
摘    要:
通常的无线传感器分簇网络存在节点负载不均衡的问题。为均衡各节点能量消耗,延长网络生存周期,将K均值算法与遗传算法相结合,提出一种负载均衡的无线传感器网络路由算法,算法利用遗传算法的全局寻优能力以克服传统K均值算法的局部性和对初始中心的敏感性,实现了传感器网络节点自适应成簇与各节点负载均衡。仿真实验表明,该算法显著延长了网络寿命,相对于其他分簇路由算法,其网络生存时间延长了约43%。

关 键 词:无线传感器网络  负载均衡  路由  遗传算法  K均值聚类

A load-balanced wireless sensor network routing algorithm based on genetic clustering algorithm
ZHU Yong-jiao,YAN Wei,ZUO Wei-ming. A load-balanced wireless sensor network routing algorithm based on genetic clustering algorithm[J]. International Electronic Elements, 2011, 0(11): 4-7
Authors:ZHU Yong-jiao  YAN Wei  ZUO Wei-ming
Affiliation:ZHU Yong-jiao1,YAN Wei1,ZUO Wei-ming2(1.Department of Computer Science and Technology,University of Changsha,Changsha 410003,China,2.Dept.of Computer Science,Hunan City University,Yiyang 413000,China)
Abstract:
Common network clustering for wireless sensor network(WSN) causes unbalanced energy depletion.To balance the energy depletion over the nodes and prolong the lifetime of WSNs,a load-balanced WSN routing algorithm by combining genetic algorithm and K-means clustering algorithm.The proposed algorithm overcame the sensitivity to the initial start centers and locality of K-means by exploiting the global optimization capability of genetic algorithm and achieved the adaptive network clustering and the load balance...
Keywords:wireless sensor network  load balancing  routing  genetic algorithm  K-means clustering  
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