An efficient management algorithm for clustering in mobile ad hoc network

  • Authors:
  • Zouhair El-Bazzal;Michel Kadoch;Basile L. Agba;François Gagnon;Maria Bennani

  • Affiliations:
  • École de technologie supérieure, Montreal, Qc., Canada;École de technologie supérieure, Montreal, Qc., Canada;École de technologie supérieure, Montreal, Qc., Canada;École de technologie supérieure, Montreal, Qc., Canada;École de technologie supérieure, Montreal, Qc., Canada

  • Venue:
  • Proceedings of the ACM international workshop on Performance monitoring, measurement, and evaluation of heterogeneous wireless and wired networks
  • Year:
  • 2006

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Abstract

Clustering of mobile nodes among separate domains has been proposed as an efficient approach to mimic the operation of the fixed infrastructure and manage the resources in multi-hop networks. In this work, we propose a new clustering algorithm, namely Efficient Management Algorithm for Clustering (EMAC) based on weighting parameters. The goals are yielding low number of clusters, maintaining stable clusters, minimizing the number of invocations for the algorithm and maximizing lifetime of mobile nodes in the system. Through simulations we have compared the performance of our algorithm with that of WCA in terms of the number of clusters formed and number of states transitions on each clusterhead. The results demonstrate the superior performance of the proposed algorithm