• DocumentCode
    1676218
  • Title

    Mobility-Based Clustering in VANETs Using Affinity Propagation

  • Author

    Shea, Christine ; Hassanabadi, Behnam ; Valaee, Shahrokh

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The recent research in cluster-based MAC and routing schemes for Vehicle Ad Hoc Networks (VANETs) motivates the necessity for a stable VANET clustering algorithm. Due to the highly mobile nature of VANETs, mobility must play an integral role in cluster formation. We present a novel, mobility-based clustering scheme for Vehicle Ad hoc Networks, which utilizes the Affinity Propagation algorithm in a distributed manner. The proposed algorithm considers typical vehicular mobility during cluster formation, which produces clusters with high stability. Simulation results confirm the superior performance of the proposed algorithm, when compared to other accepted mobility-based clustering techniques. Clustering performance is measured in terms of average cluster head duration, average cluster member duration, average rate of cluster head change, and average number of clusters.
  • Keywords
    mobile computing; routing protocols; wireless mesh networks; VANET; affinity propagation; average cluster head duration; average cluster member duration; average number of clusters; average rate of cluster head change; mobility-based clustering; vehicle ad hoc networks; Ad hoc networks; Clustering algorithms; Delay; Injuries; Network topology; Road safety; Routing protocols; Stability; Telecommunication traffic; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE
  • Conference_Location
    Honolulu, HI
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-4148-8
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2009.5425236
  • Filename
    5425236