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Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks

by Siddharth Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 144 - Number 2
Year of Publication: 2016
Authors: Siddharth Kumar
10.5120/ijca2016910107

Siddharth Kumar . Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks. International Journal of Computer Applications. 144, 2 ( Jun 2016), 5-9. DOI=10.5120/ijca2016910107

@article{ 10.5120/ijca2016910107,
author = { Siddharth Kumar },
title = { Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2016 },
volume = { 144 },
number = { 2 },
month = { Jun },
year = { 2016 },
issn = { 0975-8887 },
pages = { 5-9 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume144/number2/25149-2016910107/ },
doi = { 10.5120/ijca2016910107 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:46:31.928093+05:30
%A Siddharth Kumar
%T Optimization of Ant based Cluster Head Election Algorithm in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 144
%N 2
%P 5-9
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Networks consist of inexpensive nodes that are positioned over an area to collect the useful information and send the valuable data to the base station for further processing. In wireless sensor networks, nodes have limited power and shorter lifetime. So, it is crucial to aggregate the data in Energy Efficient manner and optimize the lifetime of the network. To solve the issue, Ant Colony Optimization, a Swarm Intelligence based Routing Technique is used. The proposed system is a Routing Approach based on ACO Algorithm along with the Clustering approach in which Cluster Head is elected based on maximum value of energy and degree to maximize Energy Efficiency of the network and to increase the lifetime of the network. Performance obtained from the simulation results shows that the proposed approach provides an Optimized solution in terms of Enhanced Network Lifetime and Efficient Energy Utilization.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Single hop packet progress Next hop Optimized ACO Existing ACO

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