Stable and fair MANETs: A scalable multi-measure clustering framework

Ahmed M. Mahdy, Jitender S. Deogun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many techniques have been proposed for the clustering and selection of clusterheads in mobile ad hoc networks. However, most existing 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 framework that can generate flexible clustering techniques that use as many quality measures as desired. The proposed framework allows customization of the clustering techniques in order to seek specific network merits such as stability and fairness. Simulation results show significant improvements on overall network performance when using a clustering technique, developed using proposed framework, over existing Lowest ID technique.

Original languageEnglish (US)
Title of host publicationProceedings - 7th International Conference on Networking, ICN 2008
Pages131-136
Number of pages6
DOIs
StatePublished - Aug 28 2008
Event7th International Conference on Networking, ICN 2008 - Cancun, Mexico
Duration: Apr 13 2008Apr 18 2008

Publication series

NameProceedings - 7th International Conference on Networking, ICN 2008

Conference

Conference7th International Conference on Networking, ICN 2008
CountryMexico
CityCancun
Period4/13/084/18/08

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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    Mahdy, A. M., & Deogun, J. S. (2008). Stable and fair MANETs: A scalable multi-measure clustering framework. In Proceedings - 7th International Conference on Networking, ICN 2008 (pp. 131-136). [4498153] (Proceedings - 7th International Conference on Networking, ICN 2008). https://doi.org/10.1109/ICN.2008.116