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一种基于簇头选择模型的无线传感器网络分簇算法
引用本文:傅军,张晓峰.一种基于簇头选择模型的无线传感器网络分簇算法[J].传感技术学报,2007,20(8):1856-1859.
作者姓名:傅军  张晓峰
作者单位:海军工程大学电气与信息工程学院,武汉,430033
摘    要:针对分层结构的无线传感器网络,本文提出了一种分簇算法.节点通过簇头选择模型来决定自己是否被选为簇头.簇头选择模型由节点度(ND)和剩余能量(RE)共同决定.从而提高了网络体系结构的稳定性,减少计算和通信开销.所述分簇算法不仅优化了簇头选择,还均衡整个网络节点的能量消耗,进而延长网络的生命周期.最后通过理论分析和仿真进一步验证该分簇算法的性能.

关 键 词:无线传感器网络  选择模型  分簇算法  网络生命周期
文章编号:1004-1699(2007)08-1856-04
收稿时间:2006-11-01
修稿时间:2006-11-012006-12-29

Clustering Algorithm for WSNs Based on CH Selection Model
FU Jun,ZHANG Xiaofeng.Clustering Algorithm for WSNs Based on CH Selection Model[J].Journal of Transduction Technology,2007,20(8):1856-1859.
Authors:FU Jun  ZHANG Xiaofeng
Affiliation:Electrical Engineering and Information Engineering College, Naval University of Engineering , Wuhan 430033, China
Abstract:Aimed at the hierarchical structure wireless sensor networks (WSNs), in this paper, a clustering algorithm for wireless sensor networks based on cluster head (CH) selection model is proposed. A node is selected to be a cluster head using a cluster head selection model. In this model, the node makes its selection based on the current knowledge of node degree (ND) and Residual Energy (RE). This model enhances the stability of network architecture, reduces the overhead for calculation and communication. The clustering algorithm not only balances the whole networks energy consumption, but also prolongs the networks lifetime. Finally, we use the NS2 simulation tool to analyze and test the effect of weighted clustering algorithm.
Keywords:Wireless sensor networks  selection model  clustering algorithm  networks lifetime
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