• DocumentCode
    1812233
  • Title

    Conditional transmissions, a strategy for highly dynamic vehicular ad hoc networks

  • Author

    Ducourthial, Bertrand ; Khaled, Yacine ; Shawky, Mohamed

  • Author_Institution
    Heudiasyc lab. UMR CNRS 6599, Université de Technologie de Compiÿgne, B.P. 20529, F-60205 Compiÿgne CEDEX, FRANCE, Email: bertrand.ducourthial@hd.utc.fr
  • fYear
    2007
  • fDate
    18-21 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Many solutions have been developed for routing messages in ad hoc networks. However, few of them are efficient when the network is highly dynamic. Indeed, when the dynamicity is high, building a routing table, discovering and maintaining a route or localizing a node is a great challenge. This topic is currently attracting attention with vehicular ad hoc networks (VANET), a special case of highly dynamic networks. VANET may allow to enhance road safety, and to develop new driver or passengers oriented services. In this paper we present a novel approach for routing in highly dynamic networks, relying on conditions-based communication. Instead of transporting addresses (or positions), a message is sent with some conditions used for retransmission or reception. Thanks to the dynamic evaluation of the conditions, we show that this solution can efficiently support the high dynamic of vehicular networks. We also analyze the performances of OLSR, Fast OLSR, AODV, and GAMER on several traffic road scenarios.
  • Keywords
    Ad hoc networks; Bandwidth; Clustering algorithms; Network topology; Performance analysis; Performance evaluation; Road accidents; Road safety; Routing protocols; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World of Wireless, Mobile and Multimedia Networks, 2007. WoWMoM 2007. IEEE International Symposium on a
  • Conference_Location
    Espoo, Finland
  • Print_ISBN
    978-1-4244-0993-8
  • Electronic_ISBN
    978-1-4244-0993-8
  • Type

    conf

  • DOI
    10.1109/WOWMOM.2007.4351763
  • Filename
    4351763