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