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Department of Electrical Engineering

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

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Department of Electrical Engineering
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zodi, Guy-Alain Lusilao
Advisors dc:contributor.advisor
  • Dlodlo, Mqhele E
  • De Jager, Gerhard

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/11583
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/11583

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Zodi, Guy-Alain Lusilao. Real-time data flow models and congestion management for wire and wireless IP networks. Department of Electrical Engineering, 2011. http://hdl.handle.net/11427/11583