Using traffic flow for cluster formation in vehicular ad-hoc networks

  • Authors:
  • Mohammad, S. Almalag Mohammad;Michele, C. Weigle Michele

  • Affiliations:
  • Department of Computer Science, Old Dominion University, Norfolk, VA 23529;Department of Computer Science, Old Dominion University, Norfolk, VA 23529

  • Venue:
  • LCN '10 Proceedings of the 2010 IEEE 35th Conference on Local Computer Networks
  • Year:
  • 2010

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Abstract

We present a lane-based clustering algorithm designed to provide stability in cluster lifetime for vehicular ad-hoc networks (VANETs) in urban scenarios. Stable clustering methods reduce the overhead of re-clustering and lead to an efficient hierarchical network topology. During the creation of VANET clusters, cluster members select one member to be the clusterhead. Fewer clusterhead changes result in a more stable cluster. To achieve this goal, cluster members must select a member that has the potential to be a clusterhead longer than other cluster members. Our method aims to select a clusterhead based on the lane where most of the traffic will flow.