Research Article
KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 48 - Issue 12 |
| Published: June 2012 |
| Authors: Arash Ghorbannia Delavar, Abootorab Alirezaie, Amir Abbas Baradaran |
10.5120/7401-0328
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Arash Ghorbannia Delavar, Abootorab Alirezaie, Amir Abbas Baradaran . KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms. International Journal of Computer Applications. 48, 12 (June 2012), 25-28. DOI=10.5120/7401-0328
@article{ 10.5120/7401-0328,
author = { Arash Ghorbannia Delavar,Abootorab Alirezaie,Amir Abbas Baradaran },
title = { KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms },
journal = { International Journal of Computer Applications },
year = { 2012 },
volume = { 48 },
number = { 12 },
pages = { 25-28 },
doi = { 10.5120/7401-0328 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2012
%A Arash Ghorbannia Delavar
%A Abootorab Alirezaie
%A Amir Abbas Baradaran
%T KGAWSN: An Effective Way to Reduce Energy Consumption in Wireless Sensor Networks by K-means and Genetic Algorithms%T
%J International Journal of Computer Applications
%V 48
%N 12
%P 25-28
%R 10.5120/7401-0328
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper, we present a method by which we can significantly reduce energy consumption in sensor networks. In the proposed method, finding an optimum Cluster Head (CH) is performed by Genetic Algorithm (GA) and clustering the network environment is done by k-means algorithm. The results of simulation show that at the end of some certain part of running the proposed algorithm, the number of alive nodes increases, comparing with the same previous methods and this can lead to an increase in sensor network lifetime.
References
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