Analysis of Enhanced Stable Clustering Algorithm Using NS2

Authors(2) :-Sanju Kumari, Dr. Neetu Sharma

Wireless networks are becoming more popular because they are easy to use. Mobile ad-hoc networks become very important technology in the last few years because wireless devices increases. Battery power is important parameter because mobile devices are battery operated now days. There are numerous clustering algorithms for MANET environment categorized mobility aware, load balancing clustering, energy proficient approach, combined metrics based clustering. Combined Metrics based clustering algorithms are preferred as more efficient in clustering as compared with the other clustering algorithms. This paper is focused on node fidelity of mobile nodes using these two node’s quality an algorithm is developed as Enhanced-NQCA algorithm which is combined metrics based approach. Results shows that Enhanced-NQCA performs better result as compared to Weight based clustering algorithm (WCA) and Node Quality based Clustering algorithm (NQCA).

Authors and Affiliations

Sanju Kumari
M.Tech. Scholar, Computer Science & Engineering, 1Ganga Institute of Technology and Management Kablana(GITAM), Jhajjar, Haryana, India
Dr. Neetu Sharma
Associate Professor, Computer Science & Engineering, 1Ganga Institute of Technology and Management Kablana(GITAM), Jhajjar, Haryana, India

MANET, Clustering, WCA, NQCA Throughput.

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Publication Details

Published in : Volume 3 | Issue 5 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 204-207
Manuscript Number : CSEIT1183568
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sanju Kumari, Dr. Neetu Sharma, "Analysis of Enhanced Stable Clustering Algorithm Using NS2", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 5, pp.204-207, May-June-2018.
Journal URL : http://ijsrcseit.com/CSEIT1183568

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