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An Adaptive Fair-Distributed Scheduling Algorithm to Guarantee QoS for Both VBR and CBR Video Traffics on IEEE 802.11e WLANs

EURASIP Journal on Advances in Signal Processing volume 2008, Article number: 264790 (2008) Cite this article

Abstract

Most of the centralized QoS mechanisms for WLAN MAC layer are only able to guarantee QoS parameters for CBR video traffic effectively. On the other hand, the existing distributed QoS mechanisms are only able to differentiate between various traffic streams without being able to guarantee QoS. This paper addresses these deficiencies by proposing a new distributed QoS scheme that guarantees QoS parameters such as delay and throughput for both CBR and VBR video traffics. The proposed scheme is also fair for all streams and it can adapt to the various conditions of the network. To achieve this, three fields are added to the RTS/CTS frames whose combination with the previously existing duration field of RTS/CTS frames guarantees the periodic fair adaptive access of a station to the channel. The performance of the proposed method has been evaluated with NS-2. The results showed that it outperforms IEEE 802.11e HCCA.

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Authors and Affiliations

  1. Computer Group, Islamic Azad University, KhomeiniShahr Branch, Khomeinishar, 84175/119, Iran

    Saeid Montazeri

  2. Department of Computer Engineering, Iran University of Science and Technology, Tehran, 16846-13114, Iran

    Mahmood Fathy & Reza Berangi

Authors
  1. Saeid Montazeri
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  2. Mahmood Fathy
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  3. Reza Berangi
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Correspondence to Saeid Montazeri.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Montazeri, S., Fathy, M. & Berangi, R. An Adaptive Fair-Distributed Scheduling Algorithm to Guarantee QoS for Both VBR and CBR Video Traffics on IEEE 802.11e WLANs. EURASIP J. Adv. Signal Process. 2008, 264790 (2008). https://doi.org/10.1155/2008/264790

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  • DOI: https://doi.org/10.1155/2008/264790

Keywords

  • Information Technology
  • Quantum Information
  • Schedule Algorithm
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