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A robust and high-performance queue management controller for large round trip time networks

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  • Ladan Khoshnevisan
  • Farzad R. Salmasi

Abstract

Congestion management for transmission control protocol is of utmost importance to prevent packet loss within a network. This necessitates strategies for active queue management. The most applied active queue management strategies have their inherent disadvantages which lead to suboptimal performance and even instability in the case of large round trip time and/or external disturbance. This paper presents an internal model control robust queue management scheme with two degrees of freedom in order to restrict the undesired effects of large and small round trip time and parameter variations in the queue management. Conventional approaches such as proportional integral and random early detection procedures lead to unstable behaviour due to large delay. Moreover, internal model control–Smith scheme suffers from large oscillations due to the large round trip time. On the other hand, other schemes such as internal model control–proportional integral and derivative show excessive sluggish performance for small round trip time values. To overcome these shortcomings, we introduce a system entailing two individual controllers for queue management and disturbance rejection, simultaneously. Simulation results based on Matlab/Simulink and also Network Simulator 2 (NS2) demonstrate the effectiveness of the procedure and verify the analytical approach.

Suggested Citation

  • Ladan Khoshnevisan & Farzad R. Salmasi, 2016. "A robust and high-performance queue management controller for large round trip time networks," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(7), pages 1586-1597, May.
  • Handle: RePEc:taf:tsysxx:v:47:y:2016:i:7:p:1586-1597
    DOI: 10.1080/00207721.2014.941959
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    Cited by:

    1. Khoshnevisan, Ladan & Liu, Xinzhi & Salmasi, Farzad R., 2019. "Stability and Hopf bifurcation analysis of a TCP/RAQM network with ISMC procedure," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 255-273.
    2. Marek Barczyk & Andrzej Chydzinski, 2022. "AQM based on the queue length: A real-network study," PLOS ONE, Public Library of Science, vol. 17(2), pages 1-21, February.
    3. Andrzej Chydzinski, 2021. "On the stability of queues with the dropping function," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-16, November.
    4. Chydzinski, Andrzej & Adamczyk, Blazej, 2020. "Response time of the queue with the dropping function," Applied Mathematics and Computation, Elsevier, vol. 377(C).

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