• DocumentCode
    3172284
  • Title

    Attribute Based Content Sharing in Mobile Adhoc Networks of Smartphones over WiFi

  • Author

    Kooh, Thomasgeorgescyrille ; Lv, Qin ; Mishra, Shivakant

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Colorado, Boulder, CO, USA
  • fYear
    2012
  • fDate
    July 30 2012-Aug. 2 2012
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    Mobile phones are increasingly equipped with features that allow them to generate, store, and make use of a large amount of digital content. Such content can be associated with attributes obtained via context and/or user annotation. With the increased trend of information sharing and the success of peer-to-peer (P2P) in the wired world, the ability for users to search and share content on their mobile devices is engaging. However, infrastructure-based networks may not always be available or affordable, and attribute- based content sharing in mobile adhoc networks is desirable. This paper investigates the feasibility of such solutions and proposes a system design that incorporates efficient content discovery, robust content distribution, and adaptive energy management techniques. Detailed performance evaluation of a prototype system demonstrates that attribute-based content sharing can be effectively supported in mobile adhoc networks of smartphones over WiFi.
  • Keywords
    computer network management; energy management systems; mobile ad hoc networks; mobility management (mobile radio); peer-to-peer computing; smart phones; wireless LAN; P2P; WiFi; adaptive energy management technique; attribute-based content sharing; content discovery; context annotation; information sharing; infrastructure-based network; mobile ad hoc network; mobile phone device; peer-to-peer; robust content distribution; smartphone; user annotation; IP networks; Mobile communication; Mobile computing; Mobile handsets; Protocols; Servers; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks (ICCCN), 2012 21st International Conference on
  • Conference_Location
    Munich
  • Print_ISBN
    978-1-4673-1543-2
  • Type

    conf

  • DOI
    10.1109/ICCCN.2012.6289316
  • Filename
    6289316