Efficient Cluster Head Selection in WSN Using Secure Mobility Cluster Based Algorithm

Abstract

Wireless Sensor Networks (WSNs) are widely adopted by various civilian/military applications for implementing real-time monitoring or long-term surveillance task. Considering sensor nodes with mobility has emerged as a major application in environmental monitoring or surveillance. Due to the limited battery lifetime, the network in the deployed region is divided into clusters and the clusters are controlled by their Cluster Heads (CH). But selecting CH in WSNs (considering the network with both static and mobility nodes) is a challenging task because security is significant. To prevent the malicious sensor node from becoming CH, Secure Mobility Cluster Based Algorithm (SMCBA) is proposed. This algorithm considers only static node among mobility node for selecting CH with efficient parameters such as trust criteria, selection time and mobility. The simulation results show that the proposed algorithm works effectively compared with the existing clustering algorithms.