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dc.contributor.authorGachogu, Stephen K
dc.date.accessioned2016-11-15T11:52:34Z
dc.date.available2016-11-15T11:52:34Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/11295/97310
dc.description.abstractThe performance of WLANs has tremendously improved achieving speeds that were only witnessed in the competing wired networks. This has resulted to the adoption of WLANs in converged networks supporting both the low and high priority traffic like VoIP. With the voice, video, business data, and background traffic convergence, a key concern in the WLANs is to offer differentiated services. Though this can be achieved through the 802.11e QoS standard, it is however done at the expense of lesspriority traffic such as HTTP and FTP. This research explored the EDCF – the QoS mechanism for WLANs MAC layer and studied the parameters such as minimum and maximum contention windows (CWmin & CWmax), arbitration inter-frame spacing (AIFS), and transmission opportunities (TXOP), that are used in the implementation of the QoS algorithm. This study has demonstrated that if these parameters are not optimally configured, this can result to starvation of the low-priority traffic. This research was performed in a simulated WLANs environment using OPNET modeler where three scenarios with same physical and MAC parameters but varying QoS settings were created. We first examined the performance of low-priority traffic in a non-QoS enabled network using DCF. We later enabled QoS using HCF and evaluated the impact of high-priority traffic (with QoS enabled) on low-priority-traffic in a converged network and finally observed the performance of low-priority traffic after modification of the HCF settings. From the results of the simulations, it was observed that the DCF’s overall performance was marginally better in terms of providing fairness for the transmission of all traffic. Whereas the EDCF performed extremely well in provision of differentiated services, the low-priority traffic on the other hand considerably suffered from diminishing resources tending to starvation. This was observed through QoS indicators such as delay, packet loss, and throughput.en_US
dc.language.isoenen_US
dc.publisherUniversity of Nairobien_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectConverged Networksen_US
dc.titleInvestigating Whether the 802.11e Wlan Qos Standard Provides Optimal Performance in Converged Networksen_US
dc.typeThesisen_US


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Attribution-NonCommercial-NoDerivs 3.0 United States
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States