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Distributed Weighting Fault-Tolerant Algorithm for Event Region Detection in Wireless Sensor Networks

机译:无线传感器网络中事件区域检测的分布式加权容错算法

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In this paper, we propose a novel distributed weighting fault-tolerant algorithm for event region detection in wireless sensor networks. Considering the fault-tolerant range of "neighborhood's neighborhood", we first employ neighborhood nodes to exchange information with its surrounding nodes and estimate the status value of neighborhood nodes, and then weight and synthesize the estimating status value of neighborhood nodes via exploiting weighting fault-tolerant method, thus achieving the fault detection of central nodes. 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.
机译:在本文中,我们提出了一种新颖的分布式加权容错算法,用于无线传感器网络中的事件区域检测。考虑到“邻里邻域”的容错范围,我们首先采用邻域节点与其周围的节点交换信息,估计邻域节点的状态值,然后通过加权加权权重对邻域节点的状态值进行加权和综合。容错方法,从而实现中心节点的故障检测。仿真结果表明,即使有多达20%的节点发生故障,使用该算法也可以检测并纠正90%以上的故障。

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