2014
DOI: 10.1109/tvt.2014.2306014
|View full text |Cite
|
Sign up to set email alerts
|

Performance Analysis and Algorithm Selection for Reliable Multicast in IEEE 802.11aa Wireless LAN

Abstract: Abstract-Legacy IEEE 802.11 does not efficiently support multicast transmissions. In order to cope with the increasing demand for multicast, mainly required to deliver multimedia traffic, the IEEE 802.11aa Task Group has recently standardized new mechanisms to allow efficient and robust transmission of multicast flows in Wireless LAN. However, the standard allows the use of different mechanisms for this purpose, and leaves open the choice of which one to use for a given scenario. In this paper, we present an a… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
10
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 32 publications
(11 citation statements)
references
References 21 publications
1
10
0
Order By: Relevance
“…The diversity of mechanisms introduced by GATS (we summarise them in Section 2) makes the selection of the best performing configuration given a network setting a tough task: the standard, in fact, does not give any insight into the performance of each mechanism, nor provides any guideline on which mechanism to use for a given scenario. Indeed, in our previous analytical [3] and experimental [4] studies, we have confirmed that each GATS mechanism provides a different performance trade-off in terms of complexity, efficiency and effectiveness, and therefore the "optimal" scheme depends on the parameters of the scenario. One key limitation of these studies, though, is that the performance evaluation is based on metrics such as saturation throughput or packet losses, and therefore its mapping to QoE (which is particularly relevant in the case of video) is not clear.…”
Section: Introductionsupporting
confidence: 53%
“…The diversity of mechanisms introduced by GATS (we summarise them in Section 2) makes the selection of the best performing configuration given a network setting a tough task: the standard, in fact, does not give any insight into the performance of each mechanism, nor provides any guideline on which mechanism to use for a given scenario. Indeed, in our previous analytical [3] and experimental [4] studies, we have confirmed that each GATS mechanism provides a different performance trade-off in terms of complexity, efficiency and effectiveness, and therefore the "optimal" scheme depends on the parameters of the scenario. One key limitation of these studies, though, is that the performance evaluation is based on metrics such as saturation throughput or packet losses, and therefore its mapping to QoE (which is particularly relevant in the case of video) is not clear.…”
Section: Introductionsupporting
confidence: 53%
“…In [8], Sun and Dai constructed a framework to observe the effect of the retry limit on the performance optimization of the DCF mechanism. In [9], Banchs et al constructed a model to evaluate the 802.11aa performance with retry limit. In [10], Gupta and Rai proposed a model to evaluate the performance of the DCF mechanism with a retry limit.…”
Section: Related Workmentioning
confidence: 99%
“…The notations in the Markov chain are introduced in Table 1. Like most related work [3][4][5][6][7][8][9][10][11][12][13][14][15][16][17], we assume that the collision probability is equal for different transmission and the channel is ideal; a collision occurred only when two nodes within a same communication range transmit packets at the same time.…”
Section: Markov Chain For the Backoff Processmentioning
confidence: 99%
“…Banchs et al [15] introduced an analytical model for estimating the average throughput of multicast protocols and proposed an algorithm of selecting the best protocol for various scenarios. In [16], Salvador and others implemented 802.11 GATS using commodity WLAN interface cards.…”
Section: Background and Related Workmentioning
confidence: 99%