• DocumentCode
    2097565
  • Title

    Roadside units deployment for content downloading in vehicular networks

  • Author

    Yazhi Liu ; Jian Ma ; Jianwei Niu ; Yan Zhang ; Wendong Wang

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    6365
  • Lastpage
    6370
  • Abstract
    The Vehicular Ad hoc Networks (VANETs) have been recently introduced to provide high-speed Internet access to vehicles by deploying 802.11 enhanced Roadside Units (RSUs) along roads. However, few content downloading oriented RSU deployment strategies have been proposed. In this paper, we propose a new RSU deployment strategy for content downloading in VANETs. The encounters between vehicles and RSUs are modeled as a time continuous homogeneous Markov chain. The optimal inter-meeting time between vehicles and RSUs is analyzed based on the encounter model. Then, the road network is modeled as a weighted undirected graph, and a RSU deployment algorithm is designed based on the depth-first traversal algorithm for edges of a graph. Simulation results show that the proposed RSU deployment algorithm can satisfy the file downloading service requirements with the lowest RSU deployment cost.
  • Keywords
    Internet; Markov processes; graph theory; vehicular ad hoc networks; wireless LAN; 802.11 enhanced RSU; VANET; content downloading; depth-first traversal algorithm; encounter model; file downloading service requirements; high-speed Internet access; optimal inter meeting time; road network; roadside units deployment; time continuous homogeneous Markov chain; vehicular ad hoc networks; weighted undirected graph; Algorithm design and analysis; Delays; Exponential distribution; Internet; Roads; Vehicles; Vehicular ad hoc networks; RSU deployment; State transition probability; VANETs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655628
  • Filename
    6655628