EFFICIENT FAULTY NODE DETECTION SCHEME USING CLA IN WIRELESS SENSOR NETWORKS

In a wireless sensor network (WSN), there may be always the existence of failure in sensor nodes. Quality of Service (QoS) of WSNs is highly dissipated due to the defective sensor nodes. one strategy to this problem will be to discover and recycle defective sensor nodes in so far as feasible. consequently, QoS of WSNs are often improved. this paper suggests a distributed cellular learning automata (CLA) defective node categorization and supervision scheme for WSNs that can discover and recycle defective sensor nodes in keeping with their fault condition. The suggested method makes use of cellular learning automata to use up a condition to each node based on hardware conditions, which makes the nodes do one of the network's operations. The suggested algorithm is experimented greatly and the results are compared with the existing algorithms to demonstrate the effectiveness of the proposed algorithm.