Fault Diagnosis of Nodes in WSN Based on Particle Swarm Optimization

摘要

In the Wireless Sensor Network (WSN), the operation reliability is usually evaluated by processing the measured data of the network nodes. As the problems of the large energy consumption and complex calculation in traditional algorithms, a method for fault diagnosis of nodes in WSN based on particle swarm optimization is proposed in the paper. The range of threshold value is obtained by optimizing the measured data of nodes according to the fast convergence rate and simple rules of characteristics of the PSO. The judgment of the nodes' malfunction is determined by analyzing the relationship between the measured data and the range of threshold value. The experimental results show that the method of fault diagnosis can find the fault nodes promptly and effectively and improve the reliability of WSN greatly.