The week's pick
Reseach Article
Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks
by
Gaurang Raval,
Madhuri Bhavsar
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 113 - Number 19 |
| Year of Publication: 2015 |
| Authors: Gaurang Raval, Madhuri Bhavsar |
10.5120/19938-2104
|
Gaurang Raval, Madhuri Bhavsar . Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks. International Journal of Computer Applications. 113, 19 ( March 2015), 41-47. DOI=10.5120/19938-2104
@article{
10.5120/19938-2104,
author = {
Gaurang Raval,
Madhuri Bhavsar
},
title = { Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks },
journal = {
International Journal of Computer Applications
},
issue_date = { March 2015 },
volume = { 113 },
number = { 19 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = {
41-47
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume113/number19/19938-2104/
},
doi = { 10.5120/19938-2104 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:24.549162+05:30
%A Gaurang Raval
%A Madhuri Bhavsar
%T Improving Energy Estimation based Clustering with Energy Threshold for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 113
%N 19
%P 41-47
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
In this paper an energy usage estimation technique (LCEFCM) has been proposed which employs the Fuzzy C-Means clustering for creating clusters in the Wireless Sensor Networks. LCEFCM reduces the energy consumption considerably compared to other clustering methods like simulated annealing and K-Means clustering. It applies the dynamic clustering mechanism combined with balanced clustering method. LCEFCM outperforms LEACHC, LEACHC Estimate(LCE) and LCEKMeans for various performance measuring factors like network lifetime, data received, alive nodes etc.
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Index Terms
Computer Science
Information Sciences
Keywords