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
Link To Document :
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