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Lifetime Maximization of Wireless Sensor Networks using Improved Genetic Algorithm based Approach

by Vinay Kumar Singh, Vidushi Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 57 - Number 14
Year of Publication: 2012
Authors: Vinay Kumar Singh, Vidushi Sharma
10.5120/9185-3606

Vinay Kumar Singh, Vidushi Sharma . Lifetime Maximization of Wireless Sensor Networks using Improved Genetic Algorithm based Approach. International Journal of Computer Applications. 57, 14 ( November 2012), 36-40. DOI=10.5120/9185-3606

@article{ 10.5120/9185-3606,
author = { Vinay Kumar Singh, Vidushi Sharma },
title = { Lifetime Maximization of Wireless Sensor Networks using Improved Genetic Algorithm based Approach },
journal = { International Journal of Computer Applications },
issue_date = { November 2012 },
volume = { 57 },
number = { 14 },
month = { November },
year = { 2012 },
issn = { 0975-8887 },
pages = { 36-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume57/number14/9185-3606/ },
doi = { 10.5120/9185-3606 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:00:28.177082+05:30
%A Vinay Kumar Singh
%A Vidushi Sharma
%T Lifetime Maximization of Wireless Sensor Networks using Improved Genetic Algorithm based Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 57
%N 14
%P 36-40
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In Wireless Sensor Networks the nodes have limited energy and are seriously constrained by the battery life. To increase the lifetime of the network is a critical and challenging issue and thus it is the routing in WSNs, which is the primary focus of design for researchers. In this paper the Elitist genetic algorithm and simulated annealing algorithms are combined to find an optimal energy efficient route for the sensor nodes towards the sink node to prolong the network lifetime. The objective function of the proposed method considers not only the distance of the nodes form the sink but also the lifetime of the network as a function of the maximum energy dissipated by a node in the route. It is evident from the simulation results that the performance of the new scheme is improved further over the existing routing protocols.

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Index Terms

Computer Science
Information Sciences

Keywords

wireless sensor network network lifetime energy efficient genetic algorithm simulated annealing

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