Distributed Online Fault Diagnosis in Wireless Sensor Networks

Abstract

In recent past, wireless sensor networks (WSNs) are used in various real-life applications where the nodes are randomly deployed in hostile environments. Different faults of sensors are inevitable due to adverse environmental conditions, low battery, and aging effect. Therefore, one major research focus in WSNs is to diagnose the sensor nodes regularly and to get the status of each of them. This helps to provide continuous service of the network despite the occurrence of failure of few nodes in the network. Some of the burning issues related to distributed fault diagnosis of intermittent faulty sensor in WSNs is addressed in this chapter. Further, how the performance of the fault diagnosis algorithm has been improved by employing robust statistical methods presented. The issue of intermittent fault diagnosis in WSNs is discussed using statistical methods which is the main focus of this chapter.