Comparison of Residual Energy-Based Clustering Algorithms for Wireless Sensor Network

Provided by: International Scholarly Research Network
Topic: Big Data
Format: PDF
Wireless sensor network swears an exceptional fine-grained interface between the virtual and physical worlds. The clustering algorithm is a kind of key technique used to reduce energy consumption. Many clustering, power management, and data dissemination protocols have been specifically designed for Wireless Sensor Network (WSN) where energy awareness is an essential design issue. Each clustering algorithm is composed of three phases Cluster Head (CH) selection, the setup phase, and steady state phase. The hot point in these algorithms is the cluster head selection.

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