• DocumentCode
    3171470
  • Title

    Cross-Layer Optimization and Effective Airtime Estimation for Wireless Video Streaming

  • Author

    Alsmirat, Mohammad A. ; Sarhan, Nabil J.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wayne State Univ., Detroit, MI, USA
  • fYear
    2012
  • fDate
    July 30 2012-Aug. 2 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    This paper develops a cross-layer optimization framework for video streaming from multiple sources to a central proxy station over a wireless network. The proposed framework manages the application rates and transmission opportunities of various video sources based on the dynamic network conditions in such a way that minimizes the overall distortion. The framework utilizes a novel online approach for estimating the effective airtime of the network. We demonstrate the effectiveness of the proposed framework and effective airtime estimation approach through extensive experiments.
  • Keywords
    radio networks; video streaming; airtime estimation approach; central proxy station; cross-layer optimization; cross-layer optimization framework; dynamic network conditions; effective airtime estimation; multiple sources; transmission opportunities; wireless network; wireless video streaming; Atmospheric modeling; Data models; Estimation; Heuristic algorithms; Optimization; Streaming media; Wireless networks;
  • 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.2012.6289275
  • Filename
    6289275