• DocumentCode
    46012
  • Title

    Intelligent Bandwidth Estimation for Variable Bit Rate Traffic

  • Author

    Khan, Gul Muhammad ; Arshad, Rabia ; Mahmud, Sahibzada Ali ; Ullah, Fahad

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Eng. & Technol., Peshawar, Pakistan
  • Volume
    19
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    151
  • Lastpage
    155
  • Abstract
    A novel neuro-evolutionary Cartesian genetic programming-based frame size estimator for multimedia streaming applications has been proposed in this letter. The frame size obtained from the proposed estimator is used to calculate and allocate the bandwidth required for frame transmission. Bandwidth calculation and allocation is done via various probabilistic and linear regression methods. To obtain conclusive results regarding the feasibility of the proposed system, different test case scenarios have been exploited. The bandwidth allocation efficiency for the technique has been compared with previously proposed methods to evaluate its effectiveness in precise bandwidth utilization. Compared to other contemporary techniques, our technique gives approximately 98% efficient frame size prediction and bandwidth allocation.
  • Keywords
    bandwidth allocation; genetic algorithms; multimedia communication; regression analysis; telecommunication traffic; bandwidth allocation; bandwidth calculation; frame size estimator; frame size prediction; frame transmission; intelligent bandwidth estimation; linear regression; multimedia streaming; neuro-evolutionary Cartesian genetic programming; probabilistic regression; variable bit rate traffic; Bandwidth; Channel allocation; Equations; Estimation; Mathematical model; Motion pictures; Streaming media; Bandwidth Allocation; Bandwidth allocation; Evolutionary Algorithm; MPEG-4; Scheduling; Traffic Estimation; evolutionary algorithm; scheduling; traffic estimation;
  • fLanguage
    English
  • Journal_Title
    Evolutionary Computation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-778X
  • Type

    jour

  • DOI
    10.1109/TEVC.2013.2285122
  • Filename
    6626641