• DocumentCode
    823966
  • Title

    Information Density Estimation for Content Retrieval in MANETs

  • Author

    Fiore, Marco ; Casetti, Claudio ; Chiasserini, Carla-Fabiana

  • Author_Institution
    Dipt. di Elettron., Politec. di Torino, Turin
  • Volume
    8
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    289
  • Lastpage
    303
  • Abstract
    The paper focuses on a cooperative environment in wireless ad hoc networks, where mobile nodes share information in a peer-to-peer fashion. Nodes follow a pure peer-to-peer approach (i.e., without the intervention of servers), thus requiring an efficient query/response propagation algorithm to prevent network congestion. The main contribution of the paper is the proposal of a novel solution, called Eureka, that identifies the regions of the network where the required information is more likely to be stored and steers the queries toward those regions. To discriminate among regions, the concept of information density is introduced, along with a procedure that allows nodes its estimation. Eureka does not require the use of satellite positioning systems, and proves to be very effective in both vehicular and pedestrian environments.
  • Keywords
    ad hoc networks; mobile radio; Eureka; MANET; content retrieval; efficient query-response propagation algorithm; information density estimation; mobile ad hoc networks; peer-to-peer approach; satellite positioning systems; wireless ad hoc networks; Communication/Networking and Information Technology; Comp; Computer Systems Organization; Mobile Computing; Mobile communication systems; Wireless communication;
  • fLanguage
    English
  • Journal_Title
    Mobile Computing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1233
  • Type

    jour

  • DOI
    10.1109/TMC.2008.110
  • Filename
    4586375