• DocumentCode
    2062098
  • Title

    p-IVG: Probabilistic Inter-Vehicle Geocast for Dense Vehicular Networks

  • Author

    Ibrahim, Khaled ; Weigle, Michele C. ; Abuelela, Mahmoud

  • Author_Institution
    Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA
  • fYear
    2009
  • fDate
    26-29 April 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper, we study the effect of dense vehicular networks on data dissemination. When using intelligent broadcasting techniques, such as Inter-Vehicle Geocast, we have discovered the spatial broadcast storm problem in which multiple vehicles will be chosen to re-broadcast frames at nearly the same time, resulting in channel contention and collisions. We present a probabilistic version of IVG (p-IVG) to address this problem. In p-IVG, which vehicles re-broadcast frames is probabilistic depending upon the traffic density surrounding the vehicles. We show that p-IVG solves the spatial broadcast storm problem and that using p-IVG results in improved reception rates, lower channel contention, and most importantly, faster dissemination of data to distant vehicles than IVG.
  • Keywords
    broadcasting; mobile radio; probability; data dissemination; dense vehicular networks; intelligent broadcasting techniques; p-IVG; probabilistic intervehicle geocast; spatial broadcast storm problem; traffic density; Broadcasting; Communication standards; Computer science; Data communication; Floods; Intelligent vehicles; Network topology; Protocols; Road accidents; Storms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference, 2009. VTC Spring 2009. IEEE 69th
  • Conference_Location
    Barcelona
  • ISSN
    1550-2252
  • Print_ISBN
    978-1-4244-2517-4
  • Electronic_ISBN
    1550-2252
  • Type

    conf

  • DOI
    10.1109/VETECS.2009.5073804
  • Filename
    5073804