A Comprehensive Review of Distance and Density Based Cluster Head Selection Schemes

One of the most important consideration in designing sensor nodes in a wireless sensor network for prolonging the network lifetime by minimizing energy consumption. The number of cluster and the distribution of cluster heads (CHs) always make a major impact on the network performance. Distance and Density based clustering algorithm can greatly improve energy efficiency of WSNs because it adopts a multi-hop communication in each cluster. Besides, the neighborhood of the sink node (SN) will perform direct transmission to relieve the workload of CHs. Load balancing and scalability are very crucial factors which plays important role in the selection of Cluster head. In this paper we present the study of different distance and density based cluster head selection algorithms for wireless sensor networks and compared them on various parameters.