A simple recursive scheme for adjusting the contention window size in IEEE 802.11e wireless ad hoc networks

  • Authors:
  • Hassan Artail;Haidar Safa;Joe Naoum-Sawaya;Bissan Ghaddar;Sami Khawam

  • Affiliations:
  • American University of Beirut, P.O. Box: 11-0236, Riad El-Solh, Beirut 1107 2020, Lebanon;American University of Beirut, P.O. Box: 11-0236, Riad El-Solh, Beirut 1107 2020, Lebanon;American University of Beirut, P.O. Box: 11-0236, Riad El-Solh, Beirut 1107 2020, Lebanon;American University of Beirut, P.O. Box: 11-0236, Riad El-Solh, Beirut 1107 2020, Lebanon;American University of Beirut, P.O. Box: 11-0236, Riad El-Solh, Beirut 1107 2020, Lebanon

  • Venue:
  • Computer Communications
  • Year:
  • 2006

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Abstract

The IEEE 802.11e standard has been introduced recently for providing Quality of Service (QoS) capabilities in the emerging wireless local area networks. This standard introduces a contention window based Enhanced Distributed Channel Access (EDCA) technique that provides a prioritized traffic to guarantee the minimum bandwidth needed for time critical applications. However, the EDCA technique resets the Contention Window (CW) of the mobile station statically after each successful transmission. This static behavior does not adapt to the network state since it reduces the network usage and results in bad performance and poor link utilization whenever the demand for link utilization increases. This paper proposes a new adaptive differentiation technique for IEEE 802.11e Wireless Local Area Networks that takes into account the network state before resetting the contention window. In the new technique, the congestion level of the network is sensed by using previous CW values. Three other enhancement techniques that focus on network adaptation are also discussed. Their main limitations are the high complexity of the implemented algorithms and their slow adaptation to the network state when the channel experiences bursty traffic. The proposed technique is compared to the original differentiation techniques of IEEE 802.11a and IEEE 802.11e standards, as well as to the enhancement schemes. Results show that the proposed adaptive technique outperforms IEEE 802.11e and is comparable to the other enhancement schemes while maintaining relatively low complexity requirements.