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一种面向目标识别的分布式临时簇构建算法
引用本文:龚彬,王福豹,赵玉辉. 一种面向目标识别的分布式临时簇构建算法[J]. 计算机测量与控制, 2008, 16(11): 1701-1703,1706
作者姓名:龚彬  王福豹  赵玉辉
作者单位:西北工业大学,宽带网络研究所,陕西,西安,710072
基金项目:国家自然科学基金资助项目
摘    要:利用无线传感器网络进行目标识别可以提供更可靠的识别结果,为了满足网络的无中心、自组织、自恢复、低能耗等特性,采用了一种分布式的方法来进行目标识别;其基本方式是从感知到目标出现的节点中选择合适的节点,由它构建临时的簇,由临时簇中的节点进行目标识别;提出了一种分布式的临时簇构建算法(DTCA),DTCA通过节点之间的信息交互动态产生簇头并且构建簇,通过分析可知,DTCA算法的通信复杂度为O(N);实验表明,DTCA算法能够有效平衡能耗,延长系统的生命期。

关 键 词:临时簇  目标识别  无线传感器网络  分布式算法

A Distributed Algorithm of Building Temporary Cluster for Target Identification
Gong Bin,Wang Fubao,Zhao Yuhui. A Distributed Algorithm of Building Temporary Cluster for Target Identification[J]. Computer Measurement & Control, 2008, 16(11): 1701-1703,1706
Authors:Gong Bin  Wang Fubao  Zhao Yuhui
Affiliation:(Institute Broadband Network,Northwest Polytechnical University,Xi’an 710072,China)
Abstract:By using WSN(wireless sensor network),the effect of target identification could be improved.A distributed target identification system was based on distributed temporary cluster building algorithm.The node that found suspect target started the process of building temporary cluster.After temporary cluster building,cluster head fuses the cluster members's information which transmitted through the cluster net and gives a result of identification.This network is no-center and P2P,so a Distributed Temporary Cluster Building Algorithm(DTCA) was proposed.By analysis,Communication Complexity of the DTCA is O(N).Experiment results show how the approach can balance the load and improve the lifetime of the system.
Keywords:temporary cluster  target identification  distributed algorithm  wireless sensor network
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