Adaptive generalized minimum variance congestion controller for dynamic TCP/AQM networks

International Journal of Systems Science

Tavassoli

2013

A new proportional-derivative-type state feedback controller is proposed for congestion control of transmission control protocol (TCP) networks. An analytical TCP model is adopted. In the proposed control scheme, it is possible to efficiently control the TCP traffic using only the queue length at the router without the need to know the TCP window size which is not available locally. The results are presented in terms of delay-dependent linear matrix inequality. The proposed method is verified by simulation examples using NS software, and the effectiveness and superiority of our method over other control schemes, such as the proportional-integral, random early detection and generalised minimum variancemethods, are also shown.

Section: Introductionmentioning

confidence: 99%

Design of proportional-derivative-type state feedback controllers for congestion control of transmission control protocol networks

International Journal of Systems Science

Tavassoli

2013

“…An appropriate tool to analyze and design AQM strategies appears to be feedback control. Different kinds of controllers have been proposed, such as PI [6], PD [7], PID [8], adaptive PI [9], coefficient diagram method (CDM) [10], generalized minimum variance (GMV) [ 11 ], adaptive generalized minimum variance (AGMV) [ 12 ], fuzzy control [ 13 ], model predictive controller [14], adaptive thresholds random early detection (ATRED) [15] and so on.…”

Section: Introductionmentioning

confidence: 99%

PID-type congestion controller design for TCP networks

2014 IEEE Conference on Systems, Process and Control (ICSPC 2014)

2014

This paper presents a new PID congestion controller design for transmission control protocol (TCP) networks. It would be possible to efficiently control the TCP traffic in the proposed control scheme. This would be done via the use of only the queue length at router needless to know the TCP window size which is not accessible at the routers side. The stability condition is presented by applying linear matrix inequality (LMI). The proposed approach is laid out via numerical results by ns2 software. The usability and advantage of the proposed method is shown compared with other control schemes such as PI, RED and GMV.

“…Feedback control principles appear to be an appropriate tool in the analysis and design of AQM strategies. Many kinds of controllers have been proposed, such as PI [6], PD [7], PID [8], adaptive PI [9], coefficient diagram method (CDM) [10], generalized minimum variance (GMV) [11], adaptive generalized minimum variance (AGMV) [12], model predictive controller [13] and so on. Among these schemes, proportional-integral (PI) controller is the most representative, and others can be looked upon as variations of it.…”

Section: Introductionmentioning

confidence: 99%

Design of state feedback controller based on state-dependent delay modeling for congestion control in internet

2013 American Control Conference

Tavassoli

2013

Based on the fact that the queuing delay involved in the congestion control algorithm is state-dependent, the model of communication over TCP network protocol is transformed to a state-dependent delay differential equation. Hence, our paper firstly presented a sufficient condition for the stability of this class of systems. The results are presented in terms of linear matrix inequality (LMI). After, the general results obtained are applied to design an Active Queue Management (AQM) scheme for congestion control in internet. The proposed method is verified by simulation examples using NS software and the effectiveness and superiority of our method with respect to other control schemes such as PI and RED is shown.