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Reseach Article

Energy Efficient Hierarchical Clustering Mechanism for Wireless Sensor Network Fields

by Hamid Ali Abed Alasadi
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 153 - Number 8
Year of Publication: 2016
Authors: Hamid Ali Abed Alasadi
10.5120/ijca2016912130

Hamid Ali Abed Alasadi . Energy Efficient Hierarchical Clustering Mechanism for Wireless Sensor Network Fields. International Journal of Computer Applications. 153, 8 ( Nov 2016), 42-46. DOI=10.5120/ijca2016912130

@article{ 10.5120/ijca2016912130,
author = { Hamid Ali Abed Alasadi },
title = { Energy Efficient Hierarchical Clustering Mechanism for Wireless Sensor Network Fields },
journal = { International Journal of Computer Applications },
issue_date = { Nov 2016 },
volume = { 153 },
number = { 8 },
month = { Nov },
year = { 2016 },
issn = { 0975-8887 },
pages = { 42-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume153/number8/26427-2016912130/ },
doi = { 10.5120/ijca2016912130 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:58:38.294790+05:30
%A Hamid Ali Abed Alasadi
%T Energy Efficient Hierarchical Clustering Mechanism for Wireless Sensor Network Fields
%J International Journal of Computer Applications
%@ 0975-8887
%V 153
%N 8
%P 42-46
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In wireless sensor networks it becomes infeasible to recharge or substitute the dead batteries of the sensor nodes. As soon as, some of the sensor nodes in a Wireless Sensor Network (WSN) run out of energy, they stop functioning initiating progressive deconstruction of the network. Hence, each and every protocol should be so designed in such a way that minimum energy should be expended during sensing, processing and communication. This work suggests the development of an enhanced hierarchical clustering method, the Energy Efficient Hierarchical Clustering Mechanism (EEHCM) for wireless sensor network fields. This is a well-distributed clustering mechanism and the cluster head selection is based on the residual energy, communication cost and the distance to the base station. The main distinguishing feature of the proposed algorithm is that the cluster head selection is accomplished in mere few steps and its hierarchical nature. Simulation results clearly display that the proposed EEHCM scheme depicts an excellent reduction in communication energy and backbone energy consumption. Also, the energy efficiency in EEHCM is enhanced to a great extent. It is noted that the first node death and the last node death are delayed, and hence the overall network lifetime is prolonged.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Base station routing efficiency clustering efficiency network lifetime distributed clustering.