• DocumentCode
    2172277
  • Title

    Scalable Keyword-Based Data Retrievals in Future Content-Centric Networks

  • Author

    Ying Mao ; Bo Sheng ; Mooi Choo Chuah

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Massachusetts Boston, Boston, MA, USA
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    116
  • Lastpage
    123
  • Abstract
    The emergence of powerful mobile devices has allowed users to publish more contents in the Internet in recent years. The existing Internet architecture cannot cope with such exponential growth in users published contents. Content-centric networks have been proposed recently to allow future Internet to be data-centric rather than network centric. Several content centric networking approaches have been proposed, but most of them assume that users know the unique identifiers of the contents that are of interests to them. SECON [1] proposed a content centric mobile network solution that provides keyword based retrievals. However, the authors do not provide detailed description on how their solution can be made scalable. In this paper, we propose two scalable solutions for keyword based retrievals in content centric networks. Our preliminary simulation results indicate that our solutions are scalable.
  • Keywords
    Internet; content-based retrieval; mobile radio; smart phones; Internet architecture; SECON; content centric mobile network solution; content centric networking approaches; content centric networks; content-centric networks; data-centric; detailed description; keyword based retrievals; network centric; powerful mobile devices; published contents; scalable keyword-based data retrievals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-hoc and Sensor Networks (MSN), 2012 Eighth International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-5808-8
  • Type

    conf

  • DOI
    10.1109/MSN.2012.36
  • Filename
    6516474