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无线传感器网络信息感知中的自组织算法
引用本文:王睿,梁彦,潘泉,程咏梅.无线传感器网络信息感知中的自组织算法[J].自动化学报,2006,32(5):829-833.
作者姓名:王睿  梁彦  潘泉  程咏梅
作者单位:1.西北工业大学自动化学院, 西安 710072
摘    要:构造了信息获取与能量节省的综合性能指标,通过在线优化该函数自适应地选择簇首及簇内成员,提出了一种无线传感器网络动态协同自组织算法(DCS),从而实现综合性能优化意义下的网络自组织.仿真表明:与IDSQ算法相比,DCS算法能有效避免“乒乓效应”问题,节省通讯能量明显,而跟踪精度相当.

关 键 词:无线传感器网络    传感器协同    信息感知    自组织
收稿时间:2005-05-30
修稿时间:2006-03-07

A Self-Organization Algorithm in Wireless Sensor Networks
WANG Rui,LIANG Yan,PAN Quan,CHENG Yong-Mei.A Self-Organization Algorithm in Wireless Sensor Networks[J].Acta Automatica Sinica,2006,32(5):829-833.
Authors:WANG Rui  LIANG Yan  PAN Quan  CHENG Yong-Mei
Affiliation:1.College of Automation, Northwestern Polytechnic University, Xi an 710072
Abstract:Facing the requirement of effective information acquisition and low energy cost from the wireless sensor networks, we construct an object function by combining information gain index and energy cost index for the self-organization optimization. The information index is constructed from the mutual information, so that information increment can be represented as an alternative sensor node to the sensor cluster. The energy cost is derived from the node communication hop number from the sensor node to the sensor cluster leader. By optimizing the performance index online, a dynamic collaborative self-organization (DCS) algorithm is proposed, through which the clustering leader can be automatically elected and its member nodes can be selected sequentially. Compared with IDSQ in our simulation, DCS can relieve the problem of "too frequent leader switches" and achieve almost the same tracking accuracy at the cost of low energy consumption.
Keywords:Wireless sensor networks  sensor collaboration  information acquirement  selforganization
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