Developments of Clustering Hierarchy for Wireless Sensor Networks
Boselin Prabhu, E. Gajendran · SSRN Electronic Journal · 2017
The esteemed criteria for clustering methodology are to select cluster heads with more residual energy and to rotate them periodically. Sensors at heavy traffic locations quickly deplete their energy resources and die much earlier, leaving behind energy hole and network partition. Clustering goes behind some advantages like network scalability, localizing route setup, uses communication bandwidth efficiently and takes advantage of network lifetime. By the data aggregation process, unnecessary communication between sensor nodes, cluster head and the base station is evaded. This paper gives a detailed description of Low Energy Adaptive Clustering Hierarchy and its further developments.