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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 2017-09-28, 11:38 authored by Xin-Wei Yao, Wan-Liang Wang, Shuang-Hua YangThe 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 CommunicationsVolume
53Pages
73 - 83Citation
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 FilesVersion
- 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
2012Language
- en