Architecture of achieving QoS for multiple flows per node in WLANs

W Xi, ATD Munro, MH Barton

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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This paper proposes an effective architecture to achieve QoS in distributed WLANs when multiple traffic streams are present and flowing through every single station. The 802.11e standard specifies a multiple-state-machine (MSM) structure in the medium access control (MAC) to address this QoS concern. However, our research indicates that the MSM structure was suboptimal. It increases the collision rate and weakens the stability of the network. Instead, we propose a QoS scheduler over the MAC state machine (called local scheduler multi flow, LSMF): the proposed LSMF architecture prevents every flow in a node from initiating its own contention simultaneously, consequently, improves the overall network throughput and stability. We evaluate the performance of our LSMF model through mathematical analysis and simulations in comparison with the 802.11e MSM model, and prove the LSMF architecture is superior in both QoS effectiveness and flexibility for multiple flows per node case.
Translated title of the contributionArchitecture of achieving QoS for multiple flows per node in WLANs
Original languageEnglish
Title of host publicationIEEE International Workshop on Quality of Service (IWQoS), Enschede, Netherlands
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages191 - 198
Number of pages8
Publication statusPublished - Jun 2008
Event16th International Workshop on Quality of Service - Enschede, Netherlands
Duration: 1 Jun 2008 → …

Publication series

ISSN (Print)1548615X


Conference16th International Workshop on Quality of Service
Period1/06/08 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: The work reported in this paper has formed part of the OSIRIS project within the 3C Research programme of convergent technology research for digital media processing
and communications, whose funding and support is gratefully acknowledged. For more information please visit
The authors would like to thank Dr E.J. Collins from the Statistics Group in Department of Mathematics in the University
of Bristol for his help on the mathematical modelling.

Terms of use: Copyright © 2008 IEEE. Reprinted from 16th International Workshop on Quality of Service, 2008 (IWQoS 2008).

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