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Real-time data flow models and congestion management for wire and wireless IP networks

Includes abstract.

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Main Author: Zodi, Guy-Alain Lusilao
Other Authors: Dlodlo, Mqhele E
Format: Thesis
Language:English
Published: Department of Electrical Engineering 2015
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access_status_str Open Access
author Zodi, Guy-Alain Lusilao
author2 Dlodlo, Mqhele E
author_browse Dlodlo, Mqhele E
Zodi, Guy-Alain Lusilao
author_facet Dlodlo, Mqhele E
Zodi, Guy-Alain Lusilao
author_sort Zodi, Guy-Alain Lusilao
collection Thesis
description Includes abstract.
format Thesis
id oai:open.uct.ac.za:11427/11583
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:04.194Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2015
publishDateRange 2015
publishDateSort 2015
publisher Department of Electrical Engineering
publisherStr Department of Electrical Engineering
record_format dspace
source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/11583 Real-time data flow models and congestion management for wire and wireless IP networks Zodi, Guy-Alain Lusilao Dlodlo, Mqhele E De Jager, Gerhard Electrical Engineering Includes abstract. Includes bibliographical references (leaves 103-111). In video streaming, network congestion compromises the video throughput performance and impairs its perceptual quality and may interrupt the display. Congestion control may take the form of rate adjustment through mechanisms by attempt to minimize the probability of congestion by adjusting the rate of the streaming video to match the available capacity of the network. This can be achieved either by adapting the quantization parameter of the video encoder or by varying the rate through a scalable video technique. This thesis proposes a congestion control protocol for streaming video where an interaction between the video source and the receiver is essential to monitor the network state. The protocol consists of adjusting the video transmission rate at the encoder whenever a change in the network conditions is observed and reported back to the sender. 2015-01-06T18:41:47Z 2015-01-06T18:41:47Z 2011 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/11583 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town
spellingShingle Electrical Engineering
Zodi, Guy-Alain Lusilao
Real-time data flow models and congestion management for wire and wireless IP networks
thesis_degree_str Doctoral
title Real-time data flow models and congestion management for wire and wireless IP networks
title_full Real-time data flow models and congestion management for wire and wireless IP networks
title_fullStr Real-time data flow models and congestion management for wire and wireless IP networks
title_full_unstemmed Real-time data flow models and congestion management for wire and wireless IP networks
title_short Real-time data flow models and congestion management for wire and wireless IP networks
title_sort real time data flow models and congestion management for wire and wireless ip networks
topic Electrical Engineering
url http://hdl.handle.net/11427/11583
work_keys_str_mv AT zodiguyalainlusilao realtimedataflowmodelsandcongestionmanagementforwireandwirelessipnetworks