• DocumentCode
    973920
  • Title

    A Performance Modeling of Connectivity in Vehicular Ad Hoc Networks

  • Author

    Khabazian, Mehdi ; Ali, Mustafa K.Mehmet

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC
  • Volume
    57
  • Issue
    4
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    2440
  • Lastpage
    2450
  • Abstract
    In this paper, we study the statistical properties of the connectivity of vehicular ad hoc networks (VANETs) with user mobility. It is assumed that the nodes travel along a multilane highway that allows vehicles to pass each other. The nodes arrive at the highway through one of the traffic entry points according to a Poisson process and then travel in the same direction according to a user mobility model until they reach their exit points. The nodes on the highway may be able to communicate with each other. We derive the probability distribution of the node population size on the highway and the node´s location distribution. Then, we determine the mean cluster size and the probability that the nodes will form a single cluster. The analysis of this paper also applies to any path in a network of highways, as well as to two-way traffic. The numerical results show the significance of mobility on the connectivity of VANETs. We also present simulation results that confirm the accuracy of the analysis. The results of this paper may be used to study the routing algorithms, throughput, or delay in VANETs.
  • Keywords
    ad hoc networks; mobile radio; statistical distributions; stochastic processes; Poisson process; VANET; mean cluster size; multilane highway; probability distribution; routing algorithms; statistical properties; traffic entry points; two-way traffic; user mobility; vehicular ad hoc networks; Ad hoc; Ad hoc; Vehicular Ad hoc NETwork (VANET); Vehicular Ad Hoc Network (VANET); connectivity; mobility;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2007.912161
  • Filename
    4382911