A hardware testbed for measuring IEEE 802.11g DCF performance

dc.contributor.advisorKritzinger, Pieter Sen_ZA
dc.contributor.authorSymington, Andrewen_ZA
dc.date.accessioned2014-11-05T17:42:22Z
dc.date.available2014-11-05T17:42:22Z
dc.date.issued2009en_ZA
dc.descriptionIncludes bibliographical references (leaves 80-84).en_ZA
dc.description.abstractThe Distributed Coordination Function (DCF) is the oldest and most widely-used IEEE 802.11 contention-based channel access control protocol. DCF adds a significant amount of overhead in the form of preambles, frame headers, randomised binary exponential back-off and inter-frame spaces. Having accurate and verified performance models for DCF is thus integral to understanding the performance of IEEE 802.11 as a whole. In this document DCF performance is measured subject to two different workload models using an IEEE 802.11g test bed. Bianchi proposed the first accurate analytic model for measuring the performance of DCF. The model calculates normalised aggregate throughput as a function of the number of stations contending for channel access. The model also makes a number of assumptions about the system, including saturation conditions (all stations have a fixed-length packet to send at all times), full-connectivity between stations, constant collision probability and perfect channel conditions. Many authors have extended Bianchi's machine model to correct certain inconsistencies with the standard, while very few have considered alternative workload models. Owing to the complexities associated with prototyping, most models are verified against simulations and not experimentally using a test bed. In addition to a saturation model we considered a more realistic workload model representing wireless Internet traffic. Producing a stochastic model for such a workload was a challenging task, as usage patterns change significantly between users and over time.en_ZA
dc.identifier.apacitationSymington, A. (2009). <i>A hardware testbed for measuring IEEE 802.11g DCF performance</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Computer Science. Retrieved from http://hdl.handle.net/11427/9282en_ZA
dc.identifier.chicagocitationSymington, Andrew. <i>"A hardware testbed for measuring IEEE 802.11g DCF performance."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Computer Science, 2009. http://hdl.handle.net/11427/9282en_ZA
dc.identifier.citationSymington, A. 2009. A hardware testbed for measuring IEEE 802.11g DCF performance. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Symington, Andrew AB - The Distributed Coordination Function (DCF) is the oldest and most widely-used IEEE 802.11 contention-based channel access control protocol. DCF adds a significant amount of overhead in the form of preambles, frame headers, randomised binary exponential back-off and inter-frame spaces. Having accurate and verified performance models for DCF is thus integral to understanding the performance of IEEE 802.11 as a whole. In this document DCF performance is measured subject to two different workload models using an IEEE 802.11g test bed. Bianchi proposed the first accurate analytic model for measuring the performance of DCF. The model calculates normalised aggregate throughput as a function of the number of stations contending for channel access. The model also makes a number of assumptions about the system, including saturation conditions (all stations have a fixed-length packet to send at all times), full-connectivity between stations, constant collision probability and perfect channel conditions. Many authors have extended Bianchi's machine model to correct certain inconsistencies with the standard, while very few have considered alternative workload models. Owing to the complexities associated with prototyping, most models are verified against simulations and not experimentally using a test bed. In addition to a saturation model we considered a more realistic workload model representing wireless Internet traffic. Producing a stochastic model for such a workload was a challenging task, as usage patterns change significantly between users and over time. DA - 2009 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2009 T1 - A hardware testbed for measuring IEEE 802.11g DCF performance TI - A hardware testbed for measuring IEEE 802.11g DCF performance UR - http://hdl.handle.net/11427/9282 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/9282
dc.identifier.vancouvercitationSymington A. A hardware testbed for measuring IEEE 802.11g DCF performance. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Computer Science, 2009 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/9282en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Computer Scienceen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherComputer Scienceen_ZA
dc.titleA hardware testbed for measuring IEEE 802.11g DCF performanceen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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