IEEE 802.11e EDCA QoS Provisioning with Dynamic Fuzzy Control and Cross-Layer Interface

We propose a dynamic fuzzy logic control (DFLC) for further enhancement of the IEEE 802.11e enhanced distributed channel access (EDCA) function. Although legacy IEEE 802.11 was enhanced by the 802.11e, in wireless networks real-time traffics over the IEEE 802.11e suffer unacceptable quality especially when network state is dynamic. We adopt fuzzy logic for tackling uncertainty in wireless networks. To deal with the dynamics in wireless networks, fuzzy rules with cognitive consequents are adopted. For streaming multimedia objects over wireless networks, the dynamic fuzzy controller tunes the backoff parameters of the EDCA function to meet the dynamic traffic specification (TSPEC), which is defined by upper layers. Moreover, to support cross-layer design, a cross-layer interface is provided to transport the TSPEC to the MAC layer. Analysis and experiments show that the dynamic fuzzy control provides realtime bandwidth allocation and at the same time preserves fairness.

[1]  Arturo Azcorra,et al.  Applications and challenges of the 802.11e EDCA mechanism: an experimental study , 2005, IEEE Network.

[2]  Mihaela van der Schaar,et al.  Providing adaptive QoS to layered video over wireless local area networks through real-time retry limit adaptation , 2004, IEEE Transactions on Multimedia.

[3]  Mohamed Naimi,et al.  Toward an improvement of H.264 video transmission over IEEE 802.11e through a cross-layer architecture , 2006, IEEE Communications Magazine.

[4]  Mihaela van der Schaar,et al.  Optimized scalable video streaming over IEEE 802.11 a/e HCCA wireless networks under delay constraints , 2006, IEEE Transactions on Mobile Computing.

[5]  Itu-T.  Specification and Description Language (SDL) , 1999 .

[6]  Klara Nahrstedt,et al.  Impact of Upper Layer Adaptation on End-to-end Delay Management in Wireless Ad Hoc Networks , 2006, 12th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'06).

[7]  Yau-Hwang Kuo,et al.  Generic LR fuzzy cells for fuzzy hardware synthesis , 1998, IEEE Trans. Fuzzy Syst..

[8]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[9]  A. M. Abdullah,et al.  Wireless lan medium access control (mac) and physical layer (phy) specifications , 1997 .

[10]  Po-Chiang Lin,et al.  A Cross-Layer Adaptation Scheme for Improving IEEE 802.11e QoS by Learning , 2006, IEEE Transactions on Neural Networks.

[11]  Reginald L. Lagendijk,et al.  Optimized video streaming over 802.11 by cross-layer signaling , 2006, IEEE Communications Magazine.

[12]  Chih-Heng Ke,et al.  An Evaluation Framework for More Realistic Simulations of MPEG Video Transmission , 2008, J. Inf. Sci. Eng..

[13]  Chiapin Wang,et al.  A Neural Network Based Adaptive Algorithm for Multimedia Quality Fairness in WLAN Environments , 2006, 2006 IEEE International Conference on Multimedia and Expo.

[14]  Adam Wolisz,et al.  EvalVid - A Framework for Video Transmission and Quality Evaluation , 2003, Computer Performance Evaluation / TOOLS.

[15]  Michael Devetsikiotis,et al.  A unified model for the performance analysis of IEEE 802.11e EDCA , 2005, IEEE Transactions on Communications.

[16]  K. K. Sandhu,et al.  Specification and description language (SDL) , 1992 .

[17]  I. Chlamtac,et al.  Performance analysis for IEEE 802.11e EDCF service differentiation , 2005, IEEE Transactions on Wireless Communications.

[18]  Giulio Iannello,et al.  ACKS: a technique to reduce the impact of legacy stations in 802.11e EDCA WLANs , 2005, IEEE Communications Letters.