一种分簇无线传感网络的节点自诊断算法

众多网络为了节省能量、减少链路都是在分簇拓扑结构中实现信息传输。当分簇网络出现故障时,首先要确保簇头节点的诊断精度。文中提出一种分簇网络的WSN节点自诊断算法,算法分为两步诊断来确定节点的最终状态:第一步主要根据相邻节点的信息相似来初步确定节点状态;第二步为了防止节点被诊断错误,对节点采取进一步检验诊断。仿真结果显示,所给出的两步诊断算法有较高的诊断准确率和诊断精度。

A Fault Self-diagnosis Algorithm for a Cluster Based Wireless Sensor Network

Energy-efficient cluster based wireless sensor networks are often used to transmit information. In case of failure in WSN, the diagnosis accuracy of the cluster-head nodes should be guaranteed. In this paper, a fault self-diagnosis algorithm is presented with two steps to determine the final state of each node： first, the sensor nodes are identified based on comparisons of data from neighboring nodes, and then further tests are performed to a- void diagnosis errors. Simulation results show that the two-step algorithm has good accuracy and precision of diagnosis.