An Approach for Controlling Faults in Wireless Sensor Networks Using Clustering

Fault control and tolerance in WSN is a challenging problem because of limited energy, bandwidth, and computational complexity. While facing numerous threats these severely resource constrained nodes are responsible for data collection, data processing, localization, time synchronization aggregation and data forwarding. One of the effective approaches to control and tolerate these threats is through clustering. In this paper we present a new method called EFCM “Efficient Fault Control Mechanism” for fault controlling in wireless sensor networks based on clustering and cluster-head selection. Simulation results show EFCM has better performance over state of art methods. Keywords—WSN, X-means, Round-robin, Clustering, Fault Tolerance, EFCM, Cluster Construction, Cluster-head