• DocumentCode
    2521297
  • Title

    Assessing the Impact of a Realistic Radio Propagation Model on VANET Scenarios Using Real Maps

  • Author

    Martinez, Francisco J. ; Fogue, Manuel ; Coll, Manuel ; Cano, Juan-Carlos ; Calafate, Carlos T. ; Manzoni, Pietro

  • Author_Institution
    Univ. of Zaragoza, Zaragoza, Spain
  • fYear
    2010
  • fDate
    15-17 July 2010
  • Firstpage
    132
  • Lastpage
    139
  • Abstract
    Research in Vehicular Ad hoc Networks (VANETs) has found in simulation the most useful method to test new algorithms and techniques. This is mainly due to the high cost of deploying such systems in real scenarios. However, when determining the factors that should be taken into account in these simulations, some features such as using real topologies, radio signal absorption due to obstacles and channel access are rarely included, and therefore, results obtained are far from being realistic. In this paper, we present a new Radio Propagation Model (RPM), called Real Attenuation and Visibility (RAV), proposed to simulate more realistically both attenuation of wireless signals (signal power loss) and the radio visibility scheme (presence of obstacles interfering with the signal path). We evaluated this model and compared it against existing RPMs using real scenarios. Simulation results confirmed that our proposed RAV scheme can better reflect realistic scenarios.
  • Keywords
    ad hoc networks; mobile radio; telecommunication network topology; vehicles; VANET; radio propagation model; radio signal absorption; radio visibility scheme; real attenuation and visibility; vehicular ad hoc networks; wireless signals; Ad hoc networks; Attenuation; Layout; Mathematical model; Receivers; Vehicles; Wireless communication; inter-vehicle communication; physical layer; radio propagation model; vehicular ad hoc networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Computing and Applications (NCA), 2010 9th IEEE International Symposium on
  • Conference_Location
    Cambridge, MA
  • Print_ISBN
    978-1-4244-7628-2
  • Type

    conf

  • DOI
    10.1109/NCA.2010.24
  • Filename
    5598222