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Energy efficient clustering based on LEACH

Authors: M. Ben Salah; A. Boulouz;

Energy efficient clustering based on LEACH

Abstract

Wireless sensor networks (WSN) have important applications in remote environmental monitoring and target tracking. Because limited energy resource of sensors nodes the optimization of energy consumption is very crucial. Different approaches based upon clustering are applied to reduce energy consumption allowing enhancing network life-time of the network. In this work, an improved approach for wireless sensor network based LEACH is proposed for homogenous networks. The proposed protocol used a CH selection by considering the remaining energy of sensor node in the probability to become CH. Simulation results show that the proposed algorithm enhance the lifetime of the network and provide less energy consumption with more network stability by comparison to LEACH.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Top 10%
Average
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