Analysis of the increase and decrease algorithms for congestion avoidance in computer networks
Computer Networks and ISDN Systems
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Dynamics of random early detection
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Design of robust active queue management controllers for a class of TCP communication networks
Information Sciences: an International Journal
GA-based PID active queue management control design for a class of TCP communication networks
Expert Systems with Applications: An International Journal
AQM algorithm based on Kelly's scheme using sliding mode control
ACC'09 Proceedings of the 2009 conference on American Control Conference
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As an effective mechanism acting on the intermediate nodes to support end-to-end congestion control, Active Queue Management (AQM) takes a trade-off between link utilization and delay experienced by data packets. Most existing AQM algorithms are heuristic, and lack a systematic and theoretical design and analysis approach. From the viewpoint of control theory, the AQM system can be regarded as a typical regulating system. Although the PI controller for AQM outperforms the RED algorithm, the mismatches in a simplified TCP flow model inevitably degrade the performance of controller designed using classical control theory. In this paper, a robust controller for AQM is developed based on Sliding Mode Variable Structure Control (SMVS). Because it is insensitive to noise and variance of parameters, it is very suitable for time-varying network systems. The principles and design of the SMVS controller are presented in detail. The integrated performance is evaluated using ns simulations. The results show that the SMVS is responsive and robust against disturbance. At the same time, a complete comparison between SMVS controller and PI controller is made. The conclusion is that both transient and steady performance of the SMVS controller is superior to those of PI controller, thus the SMVS controller can readily achieve to the AQM objectives.