Unequal Clustering Methods in Wireless Sensor Networks

Abstract

Abstract: Due to its many applications, WSN has become a crucial technology for ubiquitous living and is still being actively researched. An important design consideration for WSN is energy awareness. The most common energy-efficient strategy, clustering offers numerous advantages, such as improved energy efficiency, extended lifetime, enhanced scalability, and reduced latency. However, it can also introduce the issue of creating hot spots. Uneven clustering is suggested as a remedy. When there is unequal clustering, the base station (BS) distance directly affects how big the cluster is. We were motivated to conduct this analysis because there were no current, in-depth survey articles that used unequal clustering methodologies. This research provides a comprehensive examination of various unequal clustering methods, along with their objectives, characteristics, and more. Furthermore, classifications of unequal clustering approaches are established and compared based on various cluster features, Cluster Head (CH) properties, and the clustering method employed.