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A hardware testbed for measuring IEEE 802.11g DCF performance

Includes bibliographical references (leaves 80-84).

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Bibliographic Details
Main Author: Symington, Andrew
Other Authors: Kritzinger, Pieter S
Format: Thesis
Language:English
Published: Department of Computer Science 2014
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access_status_str Open Access
author Symington, Andrew
author2 Kritzinger, Pieter S
author_browse Kritzinger, Pieter S
Symington, Andrew
author_facet Kritzinger, Pieter S
Symington, Andrew
author_sort Symington, Andrew
collection Thesis
description Includes bibliographical references (leaves 80-84).
format Thesis
id oai:open.uct.ac.za:11427/9282
institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:33:33.643Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
publisher Department of Computer Science
publisherStr Department of Computer Science
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/9282 A hardware testbed for measuring IEEE 802.11g DCF performance Symington, Andrew Kritzinger, Pieter S Computer Science Includes bibliographical references (leaves 80-84). 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. 2014-11-05T17:42:22Z 2014-11-05T17:42:22Z 2009 Master Thesis Masters MSc http://hdl.handle.net/11427/9282 eng application/pdf Department of Computer Science Faculty of Science University of Cape Town
spellingShingle Computer Science
Symington, Andrew
A hardware testbed for measuring IEEE 802.11g DCF performance
thesis_degree_str Master's
title A hardware testbed for measuring IEEE 802.11g DCF performance
title_full A hardware testbed for measuring IEEE 802.11g DCF performance
title_fullStr A hardware testbed for measuring IEEE 802.11g DCF performance
title_full_unstemmed A hardware testbed for measuring IEEE 802.11g DCF performance
title_short A hardware testbed for measuring IEEE 802.11g DCF performance
title_sort hardware testbed for measuring ieee 802 11g dcf performance
topic Computer Science
url http://hdl.handle.net/11427/9282
work_keys_str_mv AT symingtonandrew ahardwaretestbedformeasuringieee80211gdcfperformance
AT symingtonandrew hardwaretestbedformeasuringieee80211gdcfperformance