Analysis of Impact in the Wi-Fi QoS of the EDCA Parameters
Pérez, S. ; Facchini, H. ; Dantiacq, A. ; Cangemi, G. ; Campos, J. (Universidad de Zaragoza)
Resumen: With the continuing development of the wireless technologies (Wi-Fi, 3G, 4G, WiMax and Bluethooth), the
study of wireless multimedia transmissions has gained lately more attention. For example, the expectations of the company leaders on the growth of Wi-Fi video traffic has updated the lines of research on the standard IEEE 802.11e introduced to provide QoS (Quality of Service) to WLAN (Wireless LAN ) networks. In this paper we updated with greater accuracy, using other resources and the experience gained since the emergence of the standard, the work carried out previously on the quantitative impact of each EDCA (Enhanced Distributed Channel Access) parameter on the overall performance of the mechanisms MAC. A quantitative analysis of the optimizations that can be achieved has been performed by simulation. We use a
node model EDCA 802.11e with the tool Möbius of the University of Illinois, which supports an extension of SPN (Stochastic Petri Networks), known as HSAN (Hierarchical Stochastic Activity Networks), what favors
the contrast with other tools or mathematical resources. We use a realistic scenario formed by Wi-Fi stations with the capacity to transmit voice, video and best effort traffic. The results show that the default setting of EDCA parameters is not optimal, and that with an appropriate selection, very significant improvements can be obtained. Keywords: QoS, WLAN, EDCA 802.11e, MAC Parameters, Analysis of traffic
Idioma: Inglés
Año: 2015
Publicado en: Journal of Computer Science and Technology 15, 1 (2015), 8 - 14
ISSN: 1000-9000
Originalmente disponible en: Texto completo de la revista
Factor impacto JCR: 0.475 (2015)
Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 93 / 106 = 0.877 (2015) - Q4 - T3
Categ. JCR: COMPUTER SCIENCE, HARDWARE & ARCHITECTURE rank: 43 / 51 = 0.843 (2015) - Q4 - T3
Factor impacto SCIMAGO: 0.334 - Computational Theory and Mathematics (Q3) - Computer Science Applications (Q3) - Theoretical Computer Science (Q3) - Software (Q3) - Hardware and Architecture (Q3)
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
Exportado de SIDERAL (2021-01-21-11:02:04)
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study of wireless multimedia transmissions has gained lately more attention. For example, the expectations of the company leaders on the growth of Wi-Fi video traffic has updated the lines of research on the standard IEEE 802.11e introduced to provide QoS (Quality of Service) to WLAN (Wireless LAN ) networks. In this paper we updated with greater accuracy, using other resources and the experience gained since the emergence of the standard, the work carried out previously on the quantitative impact of each EDCA (Enhanced Distributed Channel Access) parameter on the overall performance of the mechanisms MAC. A quantitative analysis of the optimizations that can be achieved has been performed by simulation. We use a
node model EDCA 802.11e with the tool Möbius of the University of Illinois, which supports an extension of SPN (Stochastic Petri Networks), known as HSAN (Hierarchical Stochastic Activity Networks), what favors
the contrast with other tools or mathematical resources. We use a realistic scenario formed by Wi-Fi stations with the capacity to transmit voice, video and best effort traffic. The results show that the default setting of EDCA parameters is not optimal, and that with an appropriate selection, very significant improvements can be obtained. Keywords: QoS, WLAN, EDCA 802.11e, MAC Parameters, Analysis of traffic
Idioma: Inglés
Año: 2015
Publicado en: Journal of Computer Science and Technology 15, 1 (2015), 8 - 14
ISSN: 1000-9000
Originalmente disponible en: Texto completo de la revista
Factor impacto JCR: 0.475 (2015)
Categ. JCR: COMPUTER SCIENCE, SOFTWARE ENGINEERING rank: 93 / 106 = 0.877 (2015) - Q4 - T3
Categ. JCR: COMPUTER SCIENCE, HARDWARE & ARCHITECTURE rank: 43 / 51 = 0.843 (2015) - Q4 - T3
Factor impacto SCIMAGO: 0.334 - Computational Theory and Mathematics (Q3) - Computer Science Applications (Q3) - Theoretical Computer Science (Q3) - Software (Q3) - Hardware and Architecture (Q3)
Tipo y forma: Article (Published version)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
Exportado de SIDERAL (2021-01-21-11:02:04)
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Notice créée le 2016-07-12, modifiée le 2021-01-21