Energy Efficient Balanced Cluster Size Solution to Extend Lifetime of Wireless Sensor Networks

Research community adopted Grouping sensor nodes into clusters to achieve high energy efficiency and extend network lifetime in large scale WSN environments. Clustering algorithms are considered as energy efficient approach for resource constraint wireless sensor networks. Traditional clustering algorithms results cluster formation with uneven clusters that make network load unbalanced. In this paper, a clustering algorithm is designed to identify this problem and it results balanced cluster size solution by considering thresholds for cluster formation. Simulation results indicate that current solution can offer a better network lifetime with reduction in node death rate in comparison with existing approaches. Location of each and every present node in the network are calculated in LBC algorithm with respect to X, Y- coordinates. This can help to avoid random selection of nodes in clusters. It improves the balancing of the network and energy of network can be saved. Proposed Centre Point Detection Clustering Algorithm (CPDC) determines the center of the cluster and nearest node to that point with high energy selected as Cluster Head (CH).