A robust adaptive congestion control strategy for large scale networks with differentiated services traffic

被引：21
|
作者：
Chen, R. R. [1 ]
Khorasani, K. [1 ]
机构：
[1] Concordia Univ, Dept Elect & Comp Engn, Montreal, PQ H3G 1M8, Canada
来源：
AUTOMATICA | 2011年 / 47卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
Congestion control; Large scale networks; Decentralized control; Differentiated services traffic; Time-delay systems; DELAY-DEPENDENT STABILITY; SYSTEMS;
D O I：
10.1016/j.automatica.2010.08.019
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a robust decentralized congestion control strategy is developed for a large scale network with Differentiated Services (Diff-Serv) traffic. The network is modeled by a nonlinear fluid flow model corresponding to two classes of traffic, namely the premium traffic and the ordinary traffic. The proposed congestion controller does take into account the associated physical network resource limitations and is shown to be robust to the unknown and time-varying delays. Our proposed decentralized congestion control strategy is developed on the basis of Diff-Serv architecture by utilizing a robust adaptive technique. A Linear Matrix Inequality (LMI) condition is obtained to guarantee the ultimate boundedness of the closed-loop system. Numerical simulation implementations are presented by utilizing the QualNet and Matlab software tools to illustrate the effectiveness and capabilities of our proposed decentralized congestion control strategy. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：26 / 38
页数：13
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