Intelligent Bandwidth Estimation for Variable Bit Rate Traffic

Created by W.Langdon from gp-bibliography.bib Revision:1.4192

  author =       "Gul Muhammad Khan and Rabia Arshad and 
                 Sahibzada Ali Mahmud and Fahad Ullah",
  title =        "Intelligent Bandwidth Estimation for Variable Bit Rate
  journal =      "IEEE Transactions on Evolutionary Computation",
  year =         "2015",
  volume =       "19",
  number =       "1",
  pages =        "151--155",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming, ANN, Bandwidth Allocation,
                 Evolutionary Algorithm, MPEG-4, Scheduling, Traffic
  ISSN =         "1089-778X",
  DOI =          "doi:10.1109/TEVC.2013.2285122",
  size =         "4 pages",
  abstract =     "A novel Neuro-Evolutionary Cartesian Genetic
                 Programming based Frame Size Estimator for multimedia
                 streaming applications has been proposed in this work.
                 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 used.
                 Compared to other contemporary techniques, our
                 technique gives approximately 98percent efficient frame
                 size prediction and bandwidth allocation.",
  notes =        "also known as \cite{6626641}",

Genetic Programming entries for Gul Muhammad Khan Rabia Arshad Sahibzada Ali Mahmud Fahad Ullah