Ant Based Cluster Head Election Algorithm in Wireless Sensor Network to Avoid Redundancy

Wireless Sensor Networks consist of nodes which are deployed over the field to gather useful information and send the required data to the base station for further processing. In WSNs, nodes have limited power and shorter lifetime so, it is critical to collect the information in an energy efficient manner and enhance the lifetime of the network. Ant Colony Optimization, a Swarm Intelligence based routing technique is widely used in network routing. LEACH (Low Energy Adaptive Clustering Hierarchy) is one of the most popular clustering algorithms. In this paper we have proposed a novel routing approach based on ACO algorithm in Wireless Sensor Networks on which LEACH protocol is applied, to route the data packets in sensor networks to maximize energy efficiency and to increase the network lifetime. Along with this we try to reduce the efforts used in sending the redundant data sent by the sensors which are very much close to each other in the sensor network. The performance of our proposed algorithm has been compared with the LEACH protocol and the simulation results shows that the proposed approach provides optimized solutions in terms of efficient energy utilization and enhanced network lifetime.