Throughput quantitative analysis of EDCA 802.11e in different scenarios
This document presents a quantitative analysis of the direct and relative throughput of IEEE 802.11e. The global throughput of an 802.11e WLAN is determined by EDCA (Enhanced Distributed Channel Access) parameters, among other aspects, that are usually configured with predetermined and static values...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata
2013-04-01
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| Series: | Journal of Computer Science and Technology |
| Subjects: | |
| Online Access: | https://journal.info.unlp.edu.ar/JCST/article/view/637 |
| _version_ | 1818960836032462848 |
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| author | Santiago Cristobal Perez Higinio Alberto Facchini Gustavo Mercado Luis Bisaro Javier Campos |
| author_facet | Santiago Cristobal Perez Higinio Alberto Facchini Gustavo Mercado Luis Bisaro Javier Campos |
| author_sort | Santiago Cristobal Perez |
| collection | DOAJ |
| description | This document presents a quantitative analysis of the direct and relative throughput of IEEE 802.11e. The global throughput of an 802.11e WLAN is determined by EDCA (Enhanced Distributed Channel Access) parameters, among other aspects, that are usually configured with predetermined and static values. This study carefully evaluates the Quality of Service (QoS) of Wi-Fi with EDCA in several realistic scenarios with noise and a blend of wireless traffic (e.g., voice, video, and best effort, with Pareto distribution). The metrics of the benefits obtained in each case are compared, and the differentiated impact of network dynamics on each case is quantified. The results obtained show that the default settings are not optimal, and that with an appropriate selection, can be achieved improvements of the order of 25 %, according to the type of traffic. In addition, it could be shown the quantitative impact of each parameter EDCA on the overall performance. This study proposes a new experimental scenario based on the relative proportion of traffic present in the network. Stations have been simulated using the Möbius tool, which supports an extension of SPN (Stochastic Petri Networks), known as HSAN (Hierarchical Stochastic Activity Networks). |
| first_indexed | 2024-12-20T12:03:51Z |
| format | Article |
| id | doaj.art-aaf563a1ab7c444388103760216600d0 |
| institution | Directory Open Access Journal |
| issn | 1666-6046 1666-6038 |
| language | English |
| last_indexed | 2024-12-20T12:03:51Z |
| publishDate | 2013-04-01 |
| publisher | Postgraduate Office, School of Computer Science, Universidad Nacional de La Plata |
| record_format | Article |
| series | Journal of Computer Science and Technology |
| spelling | doaj.art-aaf563a1ab7c444388103760216600d02022-12-21T19:41:27ZengPostgraduate Office, School of Computer Science, Universidad Nacional de La PlataJournal of Computer Science and Technology1666-60461666-60382013-04-0113011624332Throughput quantitative analysis of EDCA 802.11e in different scenariosSantiago Cristobal Perez0Higinio Alberto Facchini1Gustavo Mercado2Luis Bisaro3Javier Campos4GRID TICs, National Technological University, Mendoza, 5500, ArgentineGRID TICs, National Technological University, Mendoza, 5500, ArgentineGRID TICs, National Technological University, Mendoza, 5500, ArgentineGRID TICs, National Technological University, Mendoza, 5500, ArgentineDepartment of Informatics and Systems Engineering, Zaragoza University, Zaragoza, 50018, SpainThis document presents a quantitative analysis of the direct and relative throughput of IEEE 802.11e. The global throughput of an 802.11e WLAN is determined by EDCA (Enhanced Distributed Channel Access) parameters, among other aspects, that are usually configured with predetermined and static values. This study carefully evaluates the Quality of Service (QoS) of Wi-Fi with EDCA in several realistic scenarios with noise and a blend of wireless traffic (e.g., voice, video, and best effort, with Pareto distribution). The metrics of the benefits obtained in each case are compared, and the differentiated impact of network dynamics on each case is quantified. The results obtained show that the default settings are not optimal, and that with an appropriate selection, can be achieved improvements of the order of 25 %, according to the type of traffic. In addition, it could be shown the quantitative impact of each parameter EDCA on the overall performance. This study proposes a new experimental scenario based on the relative proportion of traffic present in the network. Stations have been simulated using the Möbius tool, which supports an extension of SPN (Stochastic Petri Networks), known as HSAN (Hierarchical Stochastic Activity Networks).https://journal.info.unlp.edu.ar/JCST/article/view/637qoswlanedca 802.11eanalysis of trafficmac parameters |
| spellingShingle | Santiago Cristobal Perez Higinio Alberto Facchini Gustavo Mercado Luis Bisaro Javier Campos Throughput quantitative analysis of EDCA 802.11e in different scenarios Journal of Computer Science and Technology qos wlan edca 802.11e analysis of traffic mac parameters |
| title | Throughput quantitative analysis of EDCA 802.11e in different scenarios |
| title_full | Throughput quantitative analysis of EDCA 802.11e in different scenarios |
| title_fullStr | Throughput quantitative analysis of EDCA 802.11e in different scenarios |
| title_full_unstemmed | Throughput quantitative analysis of EDCA 802.11e in different scenarios |
| title_short | Throughput quantitative analysis of EDCA 802.11e in different scenarios |
| title_sort | throughput quantitative analysis of edca 802 11e in different scenarios |
| topic | qos wlan edca 802.11e analysis of traffic mac parameters |
| url | https://journal.info.unlp.edu.ar/JCST/article/view/637 |
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