Load-balanced distributed intra-clustering algorithm

Wireless sensor networks (WSNs) consist of multiple number of power constrained sensors, which have the capability to sense the physical parameters and process them into useful information. Clustering is widely used approach information of hierarchical network to enhance the lifetime of wireless sensor networks. Recently, load balancing in clustering emerged as an approach to efficiently utilize energy in wireless sensor networks. In this paper, we proposed an energy efficient load balanced distributed intra clustering algorithm (LBDICA). This algorithm uses the cluster head selection process based on residual energy and the number of times a node is being selected as cluster head. We have proposed intra cluster communication greedy approach which provides an energy efficient way for selection of next forwarding nodes. Finally, we evaluated the performance using MATLAB as a simulation tool to compare the LBDICA algorithm with respect to protocols such as LEACH and DSBCA. Comparison of protocols is based on the metrics such as average energy consumption in the various rounds, percentage of dead nodes over rounds, and life cycle of network over number of nodes.