Associativity based mobility-adaptive k-clustering in mobile ad-hoc networks

  • Authors:
  • C. Jayakumar;C. Chellappan

  • Affiliations:
  • Research Associate, Department of Computer Science and Engineering, Anna University, Chennai, India;Director, Ramanujan Computer Center, Anna University, Chennai, India

  • Venue:
  • CIT'04 Proceedings of the 7th international conference on Intelligent Information Technology
  • Year:
  • 2004

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Abstract

In this paper we propose Clustering technique provides a solution to support QoS in ad hoc networks. For the effective functioning of cluster based routing algorithms, the clusters must be long-lived and stable. The proposed scheme considers the spatial and temporal stability of the nodes. The node elected as the clusterhead is such that it has maximum associativity as well as satisfies a minimum connectivity requirement. Effective work has been done for Cluster Reorganization. Cluster Head Re-election is periodically done so that the cluster head is centered in a cluster. Cluster management will be effective, since the cluster heads are elected based on various parameters like processing capabilities, speed of the node, number of neighbor nodes and associativity with the neighbor nodes. Though overhead is incurred initially due to cluster setup, cluster maintenance will be easier in the long run. Ultimately routing efficiency will increase due to long-lived clusters and reduced control packets.