Performance analysis of distributed intermittent fault diagnosis in wireless sensor networks using clustering

Wireless sensor network (WSN) has become monitoring solution of variety of applications. As one of the key technologies involved in WSNs, node fault detection is indispensable in most WSN applications. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. The goal of this paper is to locate the faulty sensors in the wireless sensor network. In this paper, a distributed fault diagnosis (DFD) scheme using clustering is proposed which satisfies three important diagnosis properties such as consistency, completeness and accuracy. To evaluate the performance of the proposed algorithm a comparative analysis and implementation is presented in this paper using an existing diagnosis algorithm i.e. distributed fault diagnosis algorithm (DFD).