• DocumentCode
    77848
  • Title

    Stochastic Characterization of Information Propagation Process in Vehicular Ad hoc Networks

  • Author

    Zijie Zhang ; Guoqiang Mao ; Anderson, B.D.O.

  • Author_Institution
    Nat. Inf. Commun. Technol. Australia, Eveleigh, NSW, Australia
  • Volume
    15
  • Issue
    1
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    122
  • Lastpage
    135
  • Abstract
    This paper studies the information propagation process in wireless communication networks formed by vehicles traveling on a highway. Corresponding to different lanes of the highway and different types of vehicles, we consider that vehicles in the network can be categorized into a number of traffic streams, where the vehicles in the same traffic stream have the same speed distribution while the speed distributions of vehicles in different traffic streams are different. We analyze the information propagation process of the aforementioned vehicular network and obtain an analytical formula for the information propagation speed (IPS). Using the formula, one can straightforwardly study the impact of parameters such as radio range, vehicular traffic density, vehicular speed distribution, and the time variation of vehicular speed on the IPS. The accuracy of the analytical results is validated using simulations.
  • Keywords
    road traffic; stochastic processes; vehicular ad hoc networks; IPS; highway lane; information propagation process; information propagation speed; stochastic process; vehicle speed distribution; vehicles traffic stream; vehicular ad hoc network; wireless communication networks; Australia; Delays; Roads; Vehicles; Vehicular ad hoc networks; Wireless communication; Information propagation speed (IPS); intelligent transport system; mobile ad hoc network; vehicular ad hoc network (VANET);
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2013.2274274
  • Filename
    6576809