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...
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| Autores principales: | , , , , |
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| Formato: | Articulo |
| Lenguaje: | Inglés |
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2013
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| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/26175 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr13-3.pdf |
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I19-R120-10915-26175 |
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dspace |
| institution |
Universidad Nacional de La Plata |
| institution_str |
I-19 |
| repository_str |
R-120 |
| collection |
SEDICI (UNLP) |
| language |
Inglés |
| topic |
Ciencias Informáticas QoS EDCA 802.11e MAC parameters analysis of traffic Wireless communication Quality assurance |
| spellingShingle |
Ciencias Informáticas QoS EDCA 802.11e MAC parameters analysis of traffic Wireless communication Quality assurance Pérez, Santiago Cristóbal Facchini, Higinio Alberto Mercado, Gustavo Bisaro, Luis Campos, Javier Throughput quantitative analysis of EDCA 802.11e in different scenarios |
| topic_facet |
Ciencias Informáticas QoS EDCA 802.11e MAC parameters analysis of traffic Wireless communication Quality assurance |
| 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). |
| format |
Articulo Articulo |
| author |
Pérez, Santiago Cristóbal Facchini, Higinio Alberto Mercado, Gustavo Bisaro, Luis Campos, Javier |
| author_facet |
Pérez, Santiago Cristóbal Facchini, Higinio Alberto Mercado, Gustavo Bisaro, Luis Campos, Javier |
| author_sort |
Pérez, Santiago Cristóbal |
| title |
Throughput quantitative analysis of EDCA 802.11e in different scenarios |
| title_short |
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_sort |
throughput quantitative analysis of edca 802.11e in different scenarios |
| publishDate |
2013 |
| url |
http://sedici.unlp.edu.ar/handle/10915/26175 http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr13-3.pdf |
| work_keys_str_mv |
AT perezsantiagocristobal throughputquantitativeanalysisofedca80211eindifferentscenarios AT facchinihiginioalberto throughputquantitativeanalysisofedca80211eindifferentscenarios AT mercadogustavo throughputquantitativeanalysisofedca80211eindifferentscenarios AT bisaroluis throughputquantitativeanalysisofedca80211eindifferentscenarios AT camposjavier throughputquantitativeanalysisofedca80211eindifferentscenarios |
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Repositorios |
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