Compare of Static and Dynamic Energy Efficient Clustering Techniques Using Fuzzy Logic in Wireless Sensor Network

Pooja devi; Laxmi Shrivastava

International Journal of Broadband Cellular Communication

Compare of Static and Dynamic Energy Efficient Clustering Techniques Using Fuzzy Logic in Wireless Sensor Network

Abstract

A wireless device network (WSN) often checks physical or environmental conditions and sends the collected information to a base station (BS) through network. In WSN, clustering is wide used technique for protracting network period of time as clustering is economical technique for reducing energy dissipation. Clustering joins along many device nodes to create cluster and performs election for choosing Cluster Head (CH) for all the clusters. In clustering technique CH choice plays necessary role as major functions of CH is to stay information of attached device nodes and to communicate with Cluster Head of different clusters. During this paper, have a tendency propose a new routing approach known as Energy economical fuzzy logic cluster head (EEFL-CH); it is associate in nursing improvement of LEACH protocol. The goal of this approach is to decrease energy consumption in terms of network period of time extension using three fuzzy parameters. These parameters area unit residual energy, expected potency, and closeness to base station.

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How to cite

Pooja devi, Laxmi Shrivastava. Compare of Static and Dynamic Energy Efficient Clustering Techniques Using Fuzzy Logic in Wireless Sensor Network. International Journal of Broadband Cellular Communication. 2017;3(1):10–19.

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Compare of Static and Dynamic Energy Efficient Clustering Techniques Using Fuzzy Logic in Wireless Sensor Network

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