Adaptive service differentiation for QoS provisioning in IEEE 802.11 wireless ad hoc networks
PE-WASUN '04 Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
A survey of QoS enhancements for IEEE 802.11 wireless LAN: Research Articles
Wireless Communications & Mobile Computing
Enhancing IEEE 802.11e standard in congested environments
AICT-ICIW '06 Proceedings of the Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services
Analysis of IEEE 802.11e for QoS support in wireless LANs
IEEE Wireless Communications
QoS enhancement in IEEE 802.11 wireless local area networks
IEEE Communications Magazine
Evaluation of distributed admission control for the IEEE 802.11e EDCA
IEEE Communications Magazine
Energy and delay optimized contention for wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cross-Layer Enhancement to Support TCP-Based Traffics in WLANs
Wireless Personal Communications: An International Journal
Analysis of a prioritized contention model for multimedia wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
Hi-index | 0.24 |
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.