• DocumentCode
    2245317
  • Title

    Distributed Real-Time Data Traffic Statistics Assisted Routing Protocol for Vehicular Networks

  • Author

    Wang, Xiaomin ; Song, Chao

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China Chengdu, Chengdu, China
  • fYear
    2010
  • fDate
    8-10 Dec. 2010
  • Firstpage
    863
  • Lastpage
    867
  • Abstract
    A Vehicular Ad Hoc Network (VANET) not only experiences highly mobile and frequently disconnected, but may also have to deal with rapid changes of network topologies, especially when accidents and road traffic jams happen. In this paper, we propose a novel approach to address this issue. Due to the intermittent connectivity in VANET, we adopt the idea of carry and forward, where a moving vehicle carries the message until forwarding the message to a new vehicle. Different from existing carry and forward solutions in VANET, we make use of the distributed real-time evaluations of data traffic statistics of all roads for each vehicle. Based on the evaluation of current message delivery delay along each road, each vehicle can find the routing path to forward the message to reduce the delay. We propose a distributed real-time data traffic statistics assisted routing protocol (DRTAR) to forward the message to the appropriate road. Experimental results show that the proposed DRTAR protocol outperforms other solutions.
  • Keywords
    message passing; real-time systems; road traffic; routing protocols; telecommunication network topology; vehicular ad hoc networks; VANET; accidents; distributed real-time data traffic statistics; intermittent connectivity; message forwarding; network topology; road traffic jams; routing protocol; vehicular ad hoc network; Delay-Tolerant Network; Vehicle Ad Hoc network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Systems (ICPADS), 2010 IEEE 16th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1521-9097
  • Print_ISBN
    978-1-4244-9727-0
  • Electronic_ISBN
    1521-9097
  • Type

    conf

  • DOI
    10.1109/ICPADS.2010.57
  • Filename
    5695697