• DocumentCode
    1892404
  • Title

    Analysis of connectivity probability and hop count for multi-hop broadcasting in vehicular networks

  • Author

    Xiaohuan Li ; Bin-Jie Hu ; Hongbin Chen ; Jin Ye

  • Author_Institution
    Sch. of Electron. & Inf. Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2013
  • fDate
    2-6 Dec. 2013
  • Firstpage
    551
  • Lastpage
    555
  • Abstract
    In vehicular networks, multi-hop broadcasting is a frequently-used method to deliver messages. Safety-related messages from a source can be relayed to a distant vehicle, which may traverse multiple hops. Two important parameters affect the link availability and delay of multi-hop broadcasting-connectivity probability and average hop count. In this paper, a new analytical model for connectivity probability and average hop count is built for multi-hop broadcasting in vehicular networks, which take into account the following factors: propagation distance, one hop transmission range, distribution of vehicles, vehicle density, average length of vehicles, and minimum safety distance between vehicles. Analytical and simulation results demonstrate that the proposed model can provide better performance in terms of connectivity probability. Moreover, the proposed model sheds light on average hop count and gets closer to the practical environment.
  • Keywords
    probability; telecommunication network routing; vehicular ad hoc networks; average hop count; connectivity probability; link availability; minimum safety distance; multihop broadcasting; one hop transmission range; propagation distance; safety-related messages; vehicle average length; vehicle density; vehicle distribution; vehicular networks; Analytical models; Broadcasting; Delays; Roads; Safety; Spread spectrum communication; Vehicles; Vehicular network; connectivity; hop count; multi-hop broadcasting; safety-related message;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Connected Vehicles and Expo (ICCVE), 2013 International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICCVE.2013.6799853
  • Filename
    6799853