A Comparative Analysis of Clustering Protocols of Wireless Sensor Network

The study aims to understand the various types of fault-tolerant clustering algorithms from the existing literature. Clustering is one of the proven models for efficient energy management in a wireless sensor network (WSN). The resource-constrained architecture of WSN demands efficient protocols that can save energy when the WSN explicitly deployed in a harsh and hostile zone. The several considered factors for clustering are cluster count, size and density, location awareness, node deployment, heterogeneity of nodes, message count, and selection of cluster head, etc. Here, we present a short review of existing clustering algorithms based on probabilistic and non-probabilistic factors. During the review process, we have considered a few explicit factors to differentiate among the considered well-known clustering approaches