A robust active queue management scheme for network congestion control

Zhou, Chuan; He, Junwei; Chen, Qingwei

doi:10.1016/j.compeleceng.2012.11.008

Cited by 30 publications

(21 citation statements)

References 19 publications

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“…Mark δ C ( t ) = C ( t ) − C 0 as the increment, where C 0 denotes the nominal link capacity. It has been revealed that δ C ( t ) influences the control performance greatly and has the features of unpredictable and abrupt . In view of the aforementioned features, in this paper, δ C ( t ) is modeled both in network interference and the system uncertainty to further reduce its defections.…”

Section: Transmission Control Protocol‐based Active Queue Management mentioning

confidence: 99%

“…For example, the discretized δ p k satisfies − p k − 1 ≤ δ p k ≤1 − p k − 1 . Define p k max =1 − p k − 1 , p k min =− p k − 1 , then δ p k is rewritten as s a t ( p k ) = β ( p k ) p k , where

sat (p_{k}) = \{\begin{matrix} p_{k \max}, & p_{k} \geq p_{k \max}, \\ p_{k}, & p_{k \min} < p_{k} < p_{k \max}, \\ p_{k \min}, & p_{k} \leq p_{k \min}, \end{matrix} β (p_{k}) = \{\begin{matrix} \frac{p_{k \max}}{p_{k}}, & p_{k} \geq p_{k \max}, \\ 1, & p_{k \min} < p_{k} < p_{k \max}, \\ \frac{p_{k \min}}{p_{k}}, & p_{k} \leq p_{k \min} . \end{matrix}

However, almost all of the robust schemes indicate that δ p ( t ) or δ p k is not dramatically changed such as . It is obviously unnecessary and redundant to add a barely‐triggered limitation to the control principle.…”

Section: Transmission Control Protocol‐based Active Queue Management mentioning

confidence: 99%

“…However, almost all of the robust schemes indicate that ıp.t / or ıp k is not dramatically changed such as [19][20][21][22]. It is obviously unnecessary and redundant to add a barely-triggered limitation to the control principle.…”

Section: Remarkmentioning

confidence: 99%

“…However, the system high-frequency dynamic is easily neglected. A robust TCP/AQM method is proposed in [22], but the conservative still influences the control performance because all of the uncertain matrices are limited only by one positive scalar. More significantly, the time-varying round trip time is excluded in the stability condition, and it is unrealistically set as a fixed value in the numerical simulation.With the motivations mentioned previously, this paper concerns to further investigate a robust TCP/AQM control strategy to alleviate the Internet congestion.…”

mentioning

confidence: 99%

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Design of a robust observer-based memoryless H _∞ control for internet congestion

Cui

Fei

2015

Int. J. Robust. Nonlinear Control

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SUMMARYThis work is concerned with the transmission control protocol(TCP)-based active queue management for alleviating Internet congestion. To achieve the objective, a novel robust observer-based H 1 control scheme is proposed to stabilize the data queue length of the router to a given target. The robust observer is advocated to reconstruct a substitution state of the TCP window size under uncertain Internet environments, wherein the TCP window size is almost impossible to be explicitly measured in practise. Meanwhile, a memoryless H 1 controller is employed to guarantee the system asymptotical stability and further enhance the robustness. With the assistance of a unique nonlinear decoupling method, a feasible controller design method is presented in terms of linear matrix inequality. Compared with the existing literatures, the proposed control principle is more practical, and it can be conveniently implemented into the Internet routers while introduces less computational burden. Finally, the proposed result is embedded into Network Simulator 2 and compared with the other schemes in the literature. Numerical experiments illustrate the effectiveness of the proposed method.

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Section: Transmission Control Protocol‐based Active Queue Management mentioning

confidence: 99%

sat (p_{k}) = \{\begin{matrix} p_{k \max}, & p_{k} \geq p_{k \max}, \\ p_{k}, & p_{k \min} < p_{k} < p_{k \max}, \\ p_{k \min}, & p_{k} \leq p_{k \min}, \end{matrix} β (p_{k}) = \{\begin{matrix} \frac{p_{k \max}}{p_{k}}, & p_{k} \geq p_{k \max}, \\ 1, & p_{k \min} < p_{k} < p_{k \max}, \\ \frac{p_{k \min}}{p_{k}}, & p_{k} \leq p_{k \min} . \end{matrix}

Section: Transmission Control Protocol‐based Active Queue Management mentioning

confidence: 99%

Section: Remarkmentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

Design of a robust observer-based memoryless H _∞ control for internet congestion

Cui

Fei

2015

Int. J. Robust. Nonlinear Control

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“…However, without considering the dynamic behavior and overlooking the time-varying nature of the network, neither can any of these methods obtain the appropriate efficiency and required performance, nor can they adapt themselves against varying operating envelope. In addition, the heterogeneous nature of Internet causes various uncertainties in the network parameters such that current congestion controllers are not robust enough against them and their performance goes down as the uncertainties exceed a predefined borderline.These imperfections along with rapidly growing and varying Internet applications have urged many researchers toward the development of control theories, which have led to the emergence of various AQM controllers: P, PI, and PID controller [5,[33][34][35], H 1 robust controller [36][37][38][39], and variable structure controller [40][41][42]. Although the analytical and simulation results show the superiority of PI controller over RED, it suffers from the problem of tuning over different operating envelopes as well as its weakness in dealing with the time-varying nature of the network parameters.…”

mentioning

confidence: 99%

A compensated PID active queue management controller using an improved queue dynamic model

Kahe

Jahangir

Ebrahimi

2013

Int J Communication

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SUMMARYBeside the major objective of providing congestion control, achieving predictable queuing delay, maximizing link utilization, and robustness are the main objectives of an active queue management (AQM) controller. This paper proposes an improved queue dynamic model while incorporating the packet drop probability as well. By applying the improved model, a new compensated PID AQM controller is developed for Transmission Control Protocol/Internet Protocol (TCP/IP) networks. The non‐minimum phase characteristic caused by Padé approximation of the network delay restricts the direct application of control methods because of the unstable internal dynamics. In this paper, a parameter‐varying dynamic compensator, which operates on tracking error and internal dynamics, is proposed to not only capture the unstable internal dynamics but also reduce the effect of uncertainties by unresponsive flows. The proposed dynamic compensator is then used to design a PID AQM controller whose gains are obtained directly from the state‐space representation of the system with no further gain tuning requirements. The packet‐level simulations using network simulator (ns2) show the outperformance of the developed controller for both queuing delay stability and resource utilization. The improved underlying model leads also to the faster response of the controller. Copyright © 2013 John Wiley & Sons, Ltd.

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Congestion tracking control for wireless TCP/AQM network via immersion and invariance

Poonyanirun

Kanchanaharuthai

2022

Asian Journal of Control

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This paper deals with an immersion and invariance (I&I) control design for wireless Transmission Control Protocol (TCP) network to solve Active Queue Management (AQM) problems. With the help of this strategy, the developed control law can be used to cope with congestion tracking problems for a nonlinear wireless network model. Besides, the nonlinear congestion control law is proposed to assure that the queue length is able to track the desired queue length despite having sudden changes. The developed control design is validated in the MATLAB environment. The effectiveness of the developed control is verified through a simulation and compared with integral backstepping design, backstepping design, sliding mode design, and synergetic control design. The simulation results demonstrated that the presented strategy is not only able to solve the desired congestion tracking control problem but also provide improved transient performances.

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A robust active queue management scheme for network congestion control

Cited by 30 publications

References 19 publications

Design of a robust observer-based memoryless H _∞ control for internet congestion

Design of a robust observer-based memoryless H _∞ control for internet congestion

A compensated PID active queue management controller using an improved queue dynamic model

Congestion tracking control for wireless TCP/AQM network via immersion and invariance

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A robust active queue management scheme for network congestion control

Cited by 30 publications

References 19 publications

Design of a robust observer-based memoryless H ∞ control for internet congestion

Design of a robust observer-based memoryless H ∞ control for internet congestion

A compensated PID active queue management controller using an improved queue dynamic model

Congestion tracking control for wireless TCP/AQM network via immersion and invariance

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Design of a robust observer-based memoryless H _∞ control for internet congestion

Design of a robust observer-based memoryless H _∞ control for internet congestion