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Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs

by Rajneet Kaur, Shaveta Angurala
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 7
Year of Publication: 2015
Authors: Rajneet Kaur, Shaveta Angurala
10.5120/ijca2015907377

Rajneet Kaur, Shaveta Angurala . Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs. International Journal of Computer Applications. 131, 7 ( December 2015), 19-23. DOI=10.5120/ijca2015907377

@article{ 10.5120/ijca2015907377,
author = { Rajneet Kaur, Shaveta Angurala },
title = { Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 7 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number7/23461-2015907377/ },
doi = { 10.5120/ijca2015907377 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:37.581584+05:30
%A Rajneet Kaur
%A Shaveta Angurala
%T Improving Displacement Number and Overheads of DRFN using Artificial Bee Colony Technique in WSNs
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 7
%P 19-23
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Failure in Wireless Sensor Networks is common due to deployment of sensor nodes in harsh or hostile environment with limited power backup. Node failures could degrade the efficiency of sensor networks. Thus, failure detection and recovery techniques are very crucial for effective performance of nodes in Wireless Sensor Networks. In this paper we presented an improved DRFN technique by improving its failover mechanism. The failure handling scheme will be improved by using Artificial Bee Colony (ABC) based optimization technique. We analyze existing DRFN technique and compare it with the proposed technique on the basis of performance metrics such as occurrence of displacements and displacement overheads. Experimental results show that the proposed failure detection and recovery technique outperform over the available technique. The presented scheme is implemented and analyzed in 2013 version of MATLAB simulation tool.

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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Bee Colony (ABC) based Optimization Failure handling Mobile nodes Wireless sensor networks (WSN).

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