无线传感器网络事件簇的数据聚集容错机制  

Fault tolerant scheme for data aggregation in event cluster over wireless sensor networks

作　　者：肖伟[1,2] 徐明[1] 吕品[1] 余建平[2] 

机构地区：[1]国防科技大学计算机学院,湖南长沙410073 [2]湖南师范大学数学与计算机学院,湖南长沙410081

出　　处：《通信学报》2010年第6期112-118,共7页Journal on Communications

基　　金：国家自然科学基金资助项目(60773017;60903168)~~

摘　　要：针对数据聚集操作的容错要求,提出了事件簇的数据聚集容错机制EFSA。在生成事件簇的基础上,采用k-means算法提取加权平均数作为近似的事件值,并且计算和迭代地调整节点的可信度,作为聚集计算的数据权值和节点是否出现数据错误的指标。分析和实验表明,EFSA机制能够削弱数据错误的影响,实现数据聚集的正确性与可靠性。A fault tolerant scheme for data aggregation based event clustering called EFSA was proposed,based on fault tolerant capability in data aggregation over wireless sensor networks.The event cluster was generated before the weighted average data were extracted as approximate event value by way of k-means algorithm.The confident rate of every node in the event cluster was computed and adjusted by iterative algorithm and the CR functioned as the weighted value in aggregating data and the indicator of data fault from nodes.Simulation results and analysis demonstrate that EFSA enhances correctness and reliability of data aggregation by weakening the influence from data failure.

关 键 词：无线传感器网络 事件簇 容错 数据聚集 K-MEANS算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]