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: Pérez, Santiago Cristóbal, Facchini, Higinio Alberto, Mercado, Gustavo, Bisaro, Luis, Campos, Javier
Formato: Articulo
Lenguaje:Inglés
Publicado: 2013
Materias:
QoS
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/26175
http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Apr13-3.pdf
Aporte de:
id I19-R120-10915-26175
record_format 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
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