Energy efficient approach for clustering algorithm in Wireless Sensor Networks

In this paper, an enhanced clustering algorithm is proposed for large scale and dense Wireless Mobile Sensor Network (WMSN) to reduce the energy consumption for each sensor node and to maximize the system life. Sensor nodes in WMSN run on non-rechargeable and non-replaceable batteries and it is deployed in harsh locations, where recharging or changing sensor node battery is generally impossible. So, it is necessary to reduce the energy utilization of each sensor node to increase the system life. The proposed clustering scheme is simple, energy efficient, easy to maintain and stable. In this scheme, Backup Cluster Heads (BCHs) are introduced to avoid re-clustering and hence reduced energy consumption.