Improving 802.11 QoS in heterogeneous channels using an adaptive scheme

Wang Chiapin; Lin Tsungnan

Improving 802.11 QoS in heterogeneous channels using an adaptive scheme

Wang Chiapin^*, Lin Tsungnan

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

In error-prone IEEE 802.11 WLAN environments, link qualities can significantly affect the channel allocation among hosts and consequently the user perceived QoS of multimedia services. In this paper we propose an adaptive mechanism which on-line adjusts the initial backoff window size depending on the current channel state in order to provide fair multimedia QoS. It is a table-driven optimization approach which off-line pre-establishes the table of best initial window size associated with channel conditions based on a cost-reward function. Neural networks are utilized to learn the nonlinear mapping function and to generalize that to other channel conditions. A video streaming transmission scenario is used to evaluate the performance of our scheme. The results demonstrate the effectiveness of the proposed mechanism.

Original language	English
Publication status	Published - 2006
Externally published	Yes
Event	IASTED International Conference on WIRELESS SENSOR NETWORKS, Part of the Sixth IASTED International Multi-Conference on WIRELESS AND OPTICAL COMMUNICATIONS - Banff, AB, Canada Duration: 2006 Jul 3 → 2006 Jul 4

Other

Other	IASTED International Conference on WIRELESS SENSOR NETWORKS, Part of the Sixth IASTED International Multi-Conference on WIRELESS AND OPTICAL COMMUNICATIONS
Country/Territory	Canada
City	Banff, AB
Period	2006/07/03 → 2006/07/04

Keywords

802.11 WLANs
Neural networks
QoS
Wireless technologies

ASJC Scopus subject areas

Engineering(all)

Cite this

Improving 802.11 QoS in heterogeneous channels using an adaptive scheme. / Chiapin, Wang; Tsungnan, Lin.
2006. Paper presented at IASTED International Conference on WIRELESS SENSOR NETWORKS, Part of the Sixth IASTED International Multi-Conference on WIRELESS AND OPTICAL COMMUNICATIONS, Banff, AB, Canada.

Research output: Contribution to conference › Paper › peer-review

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abstract = "In error-prone IEEE 802.11 WLAN environments, link qualities can significantly affect the channel allocation among hosts and consequently the user perceived QoS of multimedia services. In this paper we propose an adaptive mechanism which on-line adjusts the initial backoff window size depending on the current channel state in order to provide fair multimedia QoS. It is a table-driven optimization approach which off-line pre-establishes the table of best initial window size associated with channel conditions based on a cost-reward function. Neural networks are utilized to learn the nonlinear mapping function and to generalize that to other channel conditions. A video streaming transmission scenario is used to evaluate the performance of our scheme. The results demonstrate the effectiveness of the proposed mechanism.",

keywords = "802.11 WLANs, Neural networks, QoS, Wireless technologies",

author = "Wang Chiapin and Lin Tsungnan",

year = "2006",

language = "English",

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AU - Chiapin, Wang

AU - Tsungnan, Lin

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N2 - In error-prone IEEE 802.11 WLAN environments, link qualities can significantly affect the channel allocation among hosts and consequently the user perceived QoS of multimedia services. In this paper we propose an adaptive mechanism which on-line adjusts the initial backoff window size depending on the current channel state in order to provide fair multimedia QoS. It is a table-driven optimization approach which off-line pre-establishes the table of best initial window size associated with channel conditions based on a cost-reward function. Neural networks are utilized to learn the nonlinear mapping function and to generalize that to other channel conditions. A video streaming transmission scenario is used to evaluate the performance of our scheme. The results demonstrate the effectiveness of the proposed mechanism.

AB - In error-prone IEEE 802.11 WLAN environments, link qualities can significantly affect the channel allocation among hosts and consequently the user perceived QoS of multimedia services. In this paper we propose an adaptive mechanism which on-line adjusts the initial backoff window size depending on the current channel state in order to provide fair multimedia QoS. It is a table-driven optimization approach which off-line pre-establishes the table of best initial window size associated with channel conditions based on a cost-reward function. Neural networks are utilized to learn the nonlinear mapping function and to generalize that to other channel conditions. A video streaming transmission scenario is used to evaluate the performance of our scheme. The results demonstrate the effectiveness of the proposed mechanism.

KW - 802.11 WLANs

KW - Neural networks

KW - QoS

KW - Wireless technologies

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M3 - Paper

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T2 - IASTED International Conference on WIRELESS SENSOR NETWORKS, Part of the Sixth IASTED International Multi-Conference on WIRELESS AND OPTICAL COMMUNICATIONS

Y2 - 3 July 2006 through 4 July 2006

ER -

Improving 802.11 QoS in heterogeneous channels using an adaptive scheme

Abstract

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Keywords

ASJC Scopus subject areas

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