一种无线传感器网络分布式加权容错检测算法

针对无线传感器网络的容错事件区域检测问题,提出一种分布式加权容错检测算法。考虑"邻域的邻域"的容错范围,首先利用邻域节点与其周围节点的信息交换,对邻域节点的状态值进行估计,然后采用加权容错方法对邻域节点的估计状态值进行加权综合,完成对中心节点的错误检测。仿真结果表明,该算法在传感器网络初始错误率达到20%的情况下,仍能够检测和纠正90%以上的错误。相比其他算法,该算法具有较高的错误检测精度,极大改善了事件发生区域边界节点的纠错问题,且算法运行时整个网络所消耗的能量适中。

Distributed and Weighed Fault-tolerant Algorithm for Event Region Detection in Wireless Sensor Networks

A distributed and weighed algorithm was proposed for fault-tolerant event region detection in wireless sensor networks. Considering the 'neighborhood's neighborhood' range of each central node, the status value of its neighbor nodes was estimated with the information getting from their surrounding nodes, and then the estimating status value of neighbor nodes was synthesized via exploiting the weighed fault-tolerant method, thus achieving the fault detection of the central node. Simulation results show that more than 90 percent of faults can be detected and corrected using this algorithm, even when as many as 20 percent of the nodes are faulty. Compared with other algorithm, this algorithm, with moderate energy consumption, has higher correcting precision when detecting faulty sensor nodes as well as those on the boundary of the event region.