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https://elibrary.tucl.edu.np/handle/123456789/4123
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DC Field | Value | Language |
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dc.contributor.author | Ghimire, Yamuna | - |
dc.date.accessioned | 2021-08-16T06:09:32Z | - |
dc.date.available | 2021-08-16T06:09:32Z | - |
dc.date.issued | 2009 | - |
dc.identifier.uri | http://elibrary.tucl.edu.np/handle/123456789/4123 | - |
dc.description.abstract | Wireless communication has become a very important and rapidly evolving technology. It allows users to transmit data from one remote location to another remote locations or fixed location. Quality of Service (QoS) is the key factor to be considered for its better performance. In this dissertation QoS in the Wireless Local Area Network (WLAN) has been analyzed. One of the medium access mechanisms of IEEE 802.11e is the Enhanced Distributed Channel Access (EDCA) which has been studied. EDCA has mainly three parameters, Contention Window (CW), Transmission Opportunity (TXOP) and Arbitration Inter-Frame Space (AIFS), which are responsible for maintaining the QoS. It has been analyzed that these parameters are assigned with the static value which decreases significantly the throughput performance and increases the collision rate specifically at high load condition In this dissertation TXOP limit has been studied in detail. The constant value of this TXOP limit has been replaced by its dynamic value by adding one of the user defined functions in its medium Access Control (MAC) file. The dynamic value has been adjusted according to the applications used on that specific environment. The whole performance of the WLAN has been analyzed in the popular simulator called Network Simulator (NS-2). The data from the simulator are tabulated and compared in the graphs. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Department of Computer Science and Information Technology | en_US |
dc.subject | Wireless Communication | en_US |
dc.subject | Parameters | en_US |
dc.title | Quality of Service(QoS) Analysis of IEEE 802.11e Networks on the basis of EDCA parameter: TXOP | en_US |
dc.type | Thesis | en_US |
local.institute.title | Central Department of Computer Science and Information Technology | en_US |
local.academic.level | Masters | en_US |
Appears in Collections: | Computer Science & Information Technology |
Files in This Item:
File | Description | Size | Format | |
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Full Thesis.pdf | 562.16 kB | Adobe PDF | View/Open |
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