• DocumentCode
    2798411
  • Title

    Using dead drops to improve data dissemination in very sparse equipped traffic

  • Author

    Chawathe, Sudarshan S.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Maine, Orono, ME
  • fYear
    2008
  • fDate
    4-6 June 2008
  • Firstpage
    962
  • Lastpage
    967
  • Abstract
    We study the dissemination of data in a vehicular network in which the density of equipped vehicles, or all vehicles, is very low, and in which there is no centrally connected infrastructure, such as a network of gateways. In this environment, a vehicle is rarely in communication range of another vehicle, so that protocols based on forwarding messages along a chain of vehicles in communication range are not effective. Similarly, the lack of centrally connected network infrastructure precludes protocols that use a fixed network of gateways to transfer messages. Our solution is based on using a collection of stationary, stand-alone dead drops that exchange data with vehicles that pass by them. Although the dead drops do not communicate among themselves or with a central network, their limited ability to store and forward data can improve the connectivity of a vehicular network. We use simulation-based experiments to demonstrate that the use of dead drops results in significant improvements in both the rate of data dissemination and the robustness to frequent changes in the set of participating vehicles.
  • Keywords
    mobile communication; traffic information systems; centrally connected network infrastructure; data dissemination; dead drops; message forwarding; transfer messages; vehicular network; very sparse equipped traffic; Computer science; Information systems; Intelligent vehicles; Protocols; Road accidents; Road vehicles; Robustness; Routing; Telecommunication traffic; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2008 IEEE
  • Conference_Location
    Eindhoven
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-2568-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2008.4621223
  • Filename
    4621223