Smart bandwidth management using a recurrent Neuro-Evolutionary technique

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@InProceedings{Arshad:2014:IJCNN,
  author =       "R. Arshad and G. M. Khan and S. A. Mahmud",
  booktitle =    "International Joint Conference on Neural Networks
                 (IJCNN 2014)",
  title =        "Smart bandwidth management using a recurrent
                 Neuro-Evolutionary technique",
  year =         "2014",
  month =        jul,
  pages =        "2240--2247",
  abstract =     "The requirement for correct bandwidth allocation and
                 management in a multitude of different communication
                 mediums has generated some exceedingly tedious
                 challenges that need to be addressed both intelligently
                 and with innovative solutions. Current advances in high
                 speed broadband technologies have manifold increased
                 the amount of bandwidth required during successful
                 multimedia streaming. The progressive growth of
                 Neuro-Evolutionary techniques have presented themselves
                 as worthy options to address many of the challenges
                 faced during multimedia streaming. In this paper a
                 Neuro-Evolutionary technique called the Recurrent
                 Cartesian Genetic Programming Evolved Artificial Neural
                 Network(RCGPANN) is presented for prediction of future
                 frame sizes. The proposed technique takes into account
                 the traffic size trend of the historically transmitted
                 data for future frame size prediction. The predicted
                 frame size forms the basis for estimation of the amount
                 of bandwidth necessary for transmission of future
                 frame. Different linear regression and probabilistic
                 approaches are employed to estimate the allocated
                 bandwidth, while using the predicted frame size. Our
                 proposed intelligent traffic size prediction along with
                 bandwidth estimation and management results in a
                 98percent increased efficiency.",
  keywords =     "genetic algorithms, genetic programming, Cartesian
                 Genetic Programming",
  DOI =          "doi:10.1109/IJCNN.2014.6889727",
  notes =        "Also known as \cite{6889727}",
}

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

Citations