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Reseach Article

A Fuzzy Logic-based Clustering Algorithm: Review

Published on September 2016 by Daljeet Kaur, Garima Malik
International Conference on Advances in Emerging Technology
Foundation of Computer Science USA
ICAET2016 - Number 10
September 2016
Authors: Daljeet Kaur, Garima Malik
dec56b7c-16cb-44e1-921b-d7c2d8d760d3

Daljeet Kaur, Garima Malik . A Fuzzy Logic-based Clustering Algorithm: Review. International Conference on Advances in Emerging Technology. ICAET2016, 10 (September 2016), 8-12.

@article{
author = { Daljeet Kaur, Garima Malik },
title = { A Fuzzy Logic-based Clustering Algorithm: Review },
journal = { International Conference on Advances in Emerging Technology },
issue_date = { September 2016 },
volume = { ICAET2016 },
number = { 10 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 8-12 },
numpages = 5,
url = { /proceedings/icaet2016/number10/25940-t155/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advances in Emerging Technology
%A Daljeet Kaur
%A Garima Malik
%T A Fuzzy Logic-based Clustering Algorithm: Review
%J International Conference on Advances in Emerging Technology
%@ 0975-8887
%V ICAET2016
%N 10
%P 8-12
%D 2016
%I International Journal of Computer Applications
Abstract

Wireless sensor network(WSNs) presents a new generation that conducts a model of real-time embedded system with limited computation, memory, communication, and energy resources which are being used for vast range of applications where mostly traditional networking infrastructure is practically unobtainable. The energy is the chief agent in designing of WSNs. Sometimes it is impossible and impractical to replace the battery and to maintain longer lifetime of the network when nodes are densely disposed in a competitive environment to monitor, detect and evaluate the physical phenomenon. To attain the energy powerfulness, the clustering is a typical issue. Legitimate CHs are elected to minimize energy consumption and improve the lifetime of the network. Low energy adaptive clustering hierarchy (LEACH) is one most glorious clustering mechanism. But it depends on stochastic model and energy efficiency is not boosted. In this paper fuzzy logic approach has been used forselection Super cluster Head among CHs is based on threefuzzy descriptors such as battery power, Mobility and centrality which are used to minimize energy consumption and enhance the lifetime of the network than LEACH.

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Index Terms

Computer Science
Information Sciences

Keywords

Wsn Fuzzy Logic sch.