Survey on energy efficient load-balanced clustering algorithm based on variable convergence time for wireless sensor networks

Abstract

Wireless sensor network contains a number of tiny sensors to get data from the surface where it deployed. Continuous data transfer is done in this network through cluster head and maintaining the energy level for the nodes is an essential task. Clustering is done to increase energy of the node to some certain period. Load balancing using clustering can increase the network scalability. This paper surveys on available load balanced clustering based on variable convergence time algorithms of wireless sensor networks.