• DocumentCode
    2489190
  • Title

    Distributed clustering in vehicular networks

  • Author

    Maglaras, Leandros A. ; Katsaros, Dimitrios

  • Author_Institution
    Dept. of Comput. & Commun. Eng., Univ. of Thessaly, Volos, Greece
  • fYear
    2012
  • fDate
    8-10 Oct. 2012
  • Firstpage
    593
  • Lastpage
    599
  • Abstract
    Clustering in vanets is of crucial importance in order to cope with the dynamic features of the vehicular topologies. Algorithms that give good results in Manets fail to create stable clusters since vehicular nodes are characterized by their high mobility and the different mobility patterns that even nodes in proximity may follow. In this paper, we propose a distributed clustering algorithm which forms stable clusters based on force directed algorithms. The simulation results show that our Spring-Clustering (Sp-Cl) scheme has stable performance in randomly generated scenarios on a highway. It forms lesser clusters than Lowest-ID and it is better in terms of Cluster stability compared to Lowest-ID and LPG algorithms in the same scenarios.
  • Keywords
    distributed algorithms; pattern clustering; telecommunication network topology; vehicular ad hoc networks; LPG algorithms; MANET; Sp-Cl scheme; VANET; cluster stability; distributed clustering algorithm; force directed algorithms; lowest-ID algorithm; mobility patterns; spring-clustering scheme; vehicular networks; vehicular topology; Clustering algorithms; Force; Heuristic algorithms; Peer to peer computing; Road transportation; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Mobile Computing, Networking and Communications (WiMob), 2012 IEEE 8th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    2160-4886
  • Print_ISBN
    978-1-4673-1429-9
  • Type

    conf

  • DOI
    10.1109/WiMOB.2012.6379136
  • Filename
    6379136