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

Simple item page
dc.contributor.advisorDlodlo, Mqhele Een_ZA
dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.authorZodi, Guy-Alain Lusilaoen_ZA
dc.date.accessioned2015-01-06T18:41:47Z
dc.date.available2015-01-06T18:41:47Z
dc.date.issued2011en_ZA
dc.descriptionIncludes abstract.en_ZA
dc.descriptionIncludes bibliographical references (leaves 103-111).en_ZA
dc.description.abstractIn 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.en_ZA
dc.identifier.apacitationZodi, G. L. (2011). <i>Real-time data flow models and congestion management for wire and wireless IP networks</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/11583en_ZA
dc.identifier.chicagocitationZodi, Guy-Alain Lusilao. <i>"Real-time data flow models and congestion management for wire and wireless IP networks."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011. http://hdl.handle.net/11427/11583en_ZA
dc.identifier.citationZodi, G. 2011. Real-time data flow models and congestion management for wire and wireless IP networks. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Zodi, Guy-Alain Lusilao AB - 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. DA - 2011 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2011 T1 - Real-time data flow models and congestion management for wire and wireless IP networks TI - Real-time data flow models and congestion management for wire and wireless IP networks UR - http://hdl.handle.net/11427/11583 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/11583
dc.identifier.vancouvercitationZodi GL. Real-time data flow models and congestion management for wire and wireless IP networks. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2011 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/11583en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleReal-time data flow models and congestion management for wire and wireless IP networksen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
thesis_ebe_2011_zodi_g.pdf
Size:
2.94 MB
Format:
Adobe Portable Document Format
Description:
Download
Collections
PhD / Doctoral