一种基于信息相似度的无线传感器网络成簇算法

An Information Similarity Based Clustering Algorithm for Wireless Sensor Networks

  • 摘要: 提出一种基于节点信息相似度的节能成簇算法.该算法应用遗传算法将监测结果相似的节点尽量划分到相同的簇域内,通过簇内的高效信息融合最大限度地降低系统远程通信能量损耗,从而延长网络的生存时间.模拟实验结果显示,与现有的重要成簇算法相比,所提算法在特定应用环境中提供了更长的网络生存时间.

     

    Abstract: An energy-efficient information similarity based clustering algorithm(ISBC) is proposed,which uses genetic algorithm to partition the adjacent nodes with similar monitoring results into one cluster.With the help of efficient data aggregation within the cluster,remote communication energy dissipation in the system can be minimized,and thus the network lifetime can be prolonged.The simulation experment results show that ISBC provides a longer lifetime than the current important clustering protocols in some special applications.

     

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