Energy Efficient Double Cluster Head Selection Algorithm for Wsn

In wireless sensor networks (WSN), the current cluster based routing techniques may result in increased network workload, energy consumption and re-transmissions. In order to overcome these issues, in this paper, we propose an energy efficient double cluster head selection algorithm for wireless sensor network. In this technique, two cluster heads namely main and sub-ordinate cluster heads are selected based on the parameters such as residual energy, minimum average distance from the member, nodes timer and node degree using particle swarm optimization technique. In this technique, each cluster member node sends the data to main cluster head. The aggregated data from the main cluster head is transmitted to sink through sub-ordinate cluster head. An energy efficient routing protocol is also developed based on the parameters expected number of retransmissions and link failure probability. By simulation results, we show that the proposed technique enhances the network lifetime and reduces the network overload.