Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Modeling the time varying behavior of mobile ad-hoc networks
MSWiM '04 Proceedings of the 7th ACM international symposium on Modeling, analysis and simulation of wireless and mobile systems
Adaptive nonlinear congestion controller for a differentiated-services framework
IEEE/ACM Transactions on Networking (TON)
ICITA '05 Proceedings of the Third International Conference on Information Technology and Applications (ICITA'05) Volume 2 - Volume 02
Why flow-completion time is the right metric for congestion control
ACM SIGCOMM Computer Communication Review
Technical communique: Delay-range-dependent stability for systems with time-varying delay
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief paper: Exponential stability of linear distributed parameter systems with time-varying delays
Automatica (Journal of IFAC)
Fluid-flow analysis of TCP Westwood with RED
Computer Networks: The International Journal of Computer and Telecommunications Networking
Architectural enhancements for network congestion control applications
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
On H∞ control for linear systems with interval time-varying delay
Automatica (Journal of IFAC)
Hi-index | 22.14 |
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.