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Bio-inspired self-adaptive rate control for multi-priority data transmission over IEEE 802.11e EDCA WLANs

journal contribution
posted on 28.09.2017 by Xin-Wei Yao, Wan-Liang Wang, Shuang-Hua Yang
The unreasonable allocation of limited network resources in conjunction with burst of traffic load injection in Wireless Local Area Networks (WLANs) may lead to congestion, and cannot guarantee strict Quality of Service (QoS) required by real-time service. Rate control is particularly an important approach for the provision of QoS in the IEEE 802.11e Enhanced Distributed Channel Access (EDCA) WLANs. In this paper, a bio-inspired self-adaptive rate control approach for multi-priority data transmission is proposed on basis of the extended Lotka-Volterra (LV) competitive model, which considers the effects of new arrival traffic on the system stability according to the limited available network resources and competitions with others traffic flows. This approach ensures that the network operates at near-optimal channel utilization and rapidly converge to a global stable equilibrium point (EP). Moreover, all data flows are of peaceful coexistence and QoS differentiation. The proposed approach is applied to IEEE 802.11e EDCA protocol, the allocated bandwidth of each data flow is optimized in an unsaturated case, and the bandwidth utilization is maximized based on Particle Swarm Optimization (PSO) algorithm whilst maintaining the service differentiation of multi-priority flows. Extensive simulations are conducted to illustrate the superior performance of the proposed rate control approach.

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 61070043).

History

School

  • Science

Department

  • Computer Science

Published in

Computer Communications

Volume

53

Pages

73 - 83

Citation

YAO, X., WANG, W. and YANG, S., 2012. Bio-inspired self-adaptive rate control for multi-priority data transmission over IEEE 802.11e EDCA WLANs. Journal of LaTeX Class Files, 6 (1).

Publisher

Journal of LaTeX Class Files

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2012

Language

en

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