• DocumentCode
    2757286
  • Title

    TMBT: An Efficient Index Allocation Method for Multi-Channel Data Broadcast

  • Author

    Wang, Shuoi ; Chen, Hsing-Lung

  • Author_Institution
    Dept. of Comp. Sci., Nat. Taiwan Univ. of Sci. & Technol., Taipei
  • Volume
    2
  • fYear
    2007
  • fDate
    21-23 May 2007
  • Firstpage
    236
  • Lastpage
    242
  • Abstract
    Broadcast is an attractive data dissemination means over multiple wireless channels due to its scalability. Since mobile clients have limited battery power and broadcast data have different popularities, how these data are fast accessed becomes an important issue. Our solution consists of first allocating data among channels near-optimally, and adopting flat broadcast per channel. Then, a binary tree indexing structure is built for each channel and nodes of all index trees are multiplexed onto a well-known physical channel, named as TMBT (time-multiplexed multiple binary trees) Our method organizes data and index into a popularity hierarchy which results in a skewed transmission of data and index. Skewed transmission has been shown to reduce the average access time effectively. Simulation results show that the reduction of access time is on average about 48% over previous work with little tuning time overhead.
  • Keywords
    broadcast channels; channel allocation; trees (mathematics); wireless channels; binary tree indexing structure; channel allocation; data broadcast multichannel; data dissemination; efficient index allocation method; mobile client; multiple wireless channel; skewed transmission; time-multiplexed multiple binary tree; Batteries; Binary trees; Broadcast technology; Broadcasting; Data engineering; Energy consumption; Indexing; Power engineering and energy; Scalability; Transceivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Information Networking and Applications Workshops, 2007, AINAW '07. 21st International Conference on
  • Conference_Location
    Niagara Falls, Ont.
  • Print_ISBN
    978-0-7695-2847-2
  • Type

    conf

  • DOI
    10.1109/AINAW.2007.354
  • Filename
    4224111