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Engineering congestion control of internet video streaming with fuzzy logic

Fleury, M and Jammeh, EA and Ghanbari, M (2012) 'Engineering congestion control of internet video streaming with fuzzy logic.' In: UNSPECIFIED, (ed.) Artificial Intelligence Resources in Control and Automation Engineering. UNSPECIFIED, 92 - 107. ISBN 9781608055890

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Congestion control of video streaming over the Internet is necessary, as access to these telecommunications networks is unregulated. A commercial IPTV service in this environment faces unacceptable quality degradation, if the video stream does not respond to the presence of other competing traffic flows. As a solution, fuzzy logic control offers real-time performance, comparatively simple models, fairness to other traffic, and a smooth response. This Chapter introduces the control problem faced in designing a fuzzy logic congestion controller in terms of the restrictions of a compressed video bitstream and the uncertainties that affect congestion control. The Chapter outlines the design of a congestion controller that relies on network packet delay and delay trend as inputs. The controller has been extensively tested and favorably compared to the standard congestion controller. Multimedia applications over telecommunications networks are a promising area to apply computational intelligence. © 2012 Bentham Science Publishers. All rights reserved.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 12 May 2013 18:03
Last Modified: 30 Jan 2019 16:22

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