Towards scalable clustering of infrastructured mobile ad hoc networks

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Pages77-80
Number of pages4
DOIs
StatePublished - 2005
Event2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication - Princeton, NJ, United States
Duration: Apr 18 2005Apr 19 2005

Publication series

Name2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Volume2005

Conference

Conference2005 IEEE/Sarnoff Symposium on Advances in Wired and Wireless Communication
Country/TerritoryUnited States
CityPrinceton, NJ
Period4/18/054/19/05

Keywords

  • Clusterhead Selection
  • Clustering
  • Infrastructure Organization
  • Mobile Ad Hoc Networks
  • Scalability

ASJC Scopus subject areas

  • Engineering(all)

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