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Reseach Article

Efficient Clustering with Proposed Load Balancing Technique for MANET

by Supreet Kaur, Varsha Kumari
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 111 - Number 13
Year of Publication: 2015
Authors: Supreet Kaur, Varsha Kumari
10.5120/19599-1442

Supreet Kaur, Varsha Kumari . Efficient Clustering with Proposed Load Balancing Technique for MANET. International Journal of Computer Applications. 111, 13 ( February 2015), 21-26. DOI=10.5120/19599-1442

@article{ 10.5120/19599-1442,
author = { Supreet Kaur, Varsha Kumari },
title = { Efficient Clustering with Proposed Load Balancing Technique for MANET },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 111 },
number = { 13 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume111/number13/19599-1442/ },
doi = { 10.5120/19599-1442 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:47:47.942524+05:30
%A Supreet Kaur
%A Varsha Kumari
%T Efficient Clustering with Proposed Load Balancing Technique for MANET
%J International Journal of Computer Applications
%@ 0975-8887
%V 111
%N 13
%P 21-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an efficient and modified load balancing algorithm is proposed. This paper shows the results of the proposed energy aware load balancing algorithm. Global re-clustering is initiated when the network becomes significantly unbalanced i. e. if the variance of degree of the cluster heads in the network is greater than a pre-determined threshold. Degree of all cluster heads would be required at a single node to evaluate the average of degree of all cluster heads in the network and subsequently the variance among themselves, which is not possible in adhoc network because of its distributed nature. For this, a formula is derived in which variance can be updated at each hop i. e. variance of N nodes can be expressed in terms of variance of (N-1) nodes and average of (N-1) nodes. The results of simulation indicate that compared with the load balanced routing algorithm DEECA, the proposed algorithm increased the network lifetime, packet delivery ratio at different traffic.

References
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Index Terms

Computer Science
Information Sciences

Keywords

MANET Clustering Cluster Maintenance Load Balancing Energy Conservation