Intelligent Bandwidth Estimation for Variable Bit Rate Traffic

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@Article{Khan:2014:ieeeTEC,

• author = "Gul Muhammad Khan and Rabia Arshad and Sahibzada Ali Mahmud and Fahad Ullah",
• title = "Intelligent Bandwidth Estimation for Variable Bit Rate Traffic",
• 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 Estimation",
• 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

Citations