Towards scalable clustering of infrastructured mobile ad hoc networks

Ahmed M. Mahdy; Jitender S. Deogun; Jun Wang

doi:10.1109/SARNOF.2005.1426516

Towards scalable clustering of infrastructured mobile ad hoc networks

Ahmed M. Mahdy, Jitender S. Deogun, Jun Wang

Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

For last several years, much research has been dedicated to the development of a reliable infrastructure for mobile ad hoc networks. A hierarchal approach has been a major player, in this context, especially its clusterhead based scheme. Many techniques have been proposed for the clustering and selection of clusterheads in mobile ad hoc networks. However, almost all techniques use only a single quality measure to distinguish between the capabilities of the nodes in the selection of clusterheads. This bounds the efficiency of the selection process and degrades network performance. In this paper, we present a scalable clustering approach that can generate customizable clustering techniques with as many quality measures as desired. Empirical results show that our clustering method experiences significant improvement on network performance compared to single measure clustering with reductions of up to 31% and 46% on average number of clusterhead switches and energy standard deviation, respectively.

Original language	English (US)
Title of host publication	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Pages	77-80
Number of pages	4
DOIs	https://doi.org/10.1109/SARNOF.2005.1426516
State	Published - 2005
Event	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication - Princeton, NJ, United States Duration: Apr 18 2005 → Apr 19 2005

Publication series

Name	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Volume	2005

Conference

Conference	2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Country/Territory	United States
City	Princeton, NJ
Period	4/18/05 → 4/19/05

Keywords

Clusterhead Selection
Clustering
Infrastructure Organization
Mobile Ad Hoc Networks
Scalability

ASJC Scopus subject areas

Engineering(all)

Access to Document

10.1109/SARNOF.2005.1426516

Cite this

Towards scalable clustering of infrastructured mobile ad hoc networks. / Mahdy, Ahmed M.; Deogun, Jitender S.; Wang, Jun.
2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication. 2005. p. 77-80 1426516 (2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mahdy, AM, Deogun, JS & Wang, J 2005, Towards scalable clustering of infrastructured mobile ad hoc networks. in 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication., 1426516, 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, vol. 2005, pp. 77-80, 2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication, Princeton, NJ, United States, 4/18/05. https://doi.org/10.1109/SARNOF.2005.1426516

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AB - For last several years, much research has been dedicated to the development of a reliable infrastructure for mobile ad hoc networks. A hierarchal approach has been a major player, in this context, especially its clusterhead based scheme. Many techniques have been proposed for the clustering and selection of clusterheads in mobile ad hoc networks. However, almost all techniques use only a single quality measure to distinguish between the capabilities of the nodes in the selection of clusterheads. This bounds the efficiency of the selection process and degrades network performance. In this paper, we present a scalable clustering approach that can generate customizable clustering techniques with as many quality measures as desired. Empirical results show that our clustering method experiences significant improvement on network performance compared to single measure clustering with reductions of up to 31% and 46% on average number of clusterhead switches and energy standard deviation, respectively.

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Towards scalable clustering of infrastructured mobile ad hoc networks

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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