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Congestion control algorithm in large-delay uncertain networks

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Abstract

Based on Smith-fuzzy controller, a new active queue management (AQM) algorithm adaptable to the large-delay uncertain networks is presented. It can compensate the negative impact on the queue stability caused by the large delay, and it also maintains strong robustness under the condition of dynamic network fluid. Its stability is proven through Lyapunov method. Simulation results demonstrated that this method enables the queue length to converge at a preset value quickly and keeps the queue oscillation small, the simulation results also show that the scheme is very robust to disturbance under various network conditions and large delay and, in particular, the algorithm proposed outperforms the conventional PI control and fuzzy control when the network parameters and network delay change.

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References

  1. S. Flogd, V. Jacobson. Random early detection gateways for congestion avoidance[J]. IEEE Transactions on Networking, 1993, 1(4): 397–413.

    Article  Google Scholar 

  2. C. Hollt, V. misra, D. Towlsey, et al. A control theoretic analysis of RED[C]//Proceedings of IEEE INFOCOM. Piscataway, New Jersey: IEEE Press, 2001, 4: 1510–1519.

    Google Scholar 

  3. C. Hollt, V. misra, D. Towlsey, et al. On designing improved controllers for AQM routers supporting TCP flows[C]//Proceedings of IEEE INFOCOM. Piscataway, New Jersey: IEEE Press, 2001, 4: 1726–1734.

    Google Scholar 

  4. F. Yin, G. M. Dimirovski, Y. Jing. Robust stabilization of uncertain input delay for Internet congestion control[C]//Proceedings of the 2006 American Control Conference. Piscataway, New Jersey: IEEE Press, 2006: 5576–5580.

    Chapter  Google Scholar 

  5. V. Hollot, Y. Chait. Nonlinear stability analysis for a class of TCP/AQM networks[C]//Proceedings of IEEE Conference on Decision and Control. Piscataway, New Jersey: IEEE Press, 2001: 2309–2314.

    Google Scholar 

  6. F. Ren, C. Lin, Y. Ren. Congestion control algorithm in large delay networks[J]. Journal of Software, 2003, 14(3): 503–511.

    Google Scholar 

  7. Y. Tao. New PID Control and Application[M]. Beijing: China Machine Press, 2002.

    Google Scholar 

  8. V. Misra, W. Gong, D. Towlsey. Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED[C]// ACM SIGCOMM 2000 Conference. USA: ACM, 2000, 8: 151–160.

    Google Scholar 

  9. L. K. Wong, F. H. F. Leung, P. K. S. Tam. Lyapunov function based design of fuzzy logic controllers and its application on combining controllers[J]. IEEE Transactions on Industrial Electronics, 1998, 45(3): 502–509.

    Article  Google Scholar 

  10. P. F. Quet, H. Ozbay. On the design of AQM supporting TCP flows using robust control theory[J]. IEEE Transactions on Automatic Control, 2004, 4(1): 1031–1036.

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. School of Information Science and Technology, Liaoning University, Shenyang, Liaoning, 110036, China

    Fengjie Yin & Yuanjiu Gong

  2. School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China

    Yuanwei Jing

Authors
  1. Fengjie Yin
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  2. Yuanwei Jing
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  3. Yuanjiu Gong
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Additional information

This work was supported by the National Natural Science Foundation of China (No. 20020145007).

Fengjie YIN received her B.S. degree in Communication Engineering Department of Changchun Institute of Posts and Telecommunications in 1988, M.S. degree in Electrical Engineering Department of Harbin Institute of Technology in 1991, and Ph.D. Automatic Control Department of Northeastern University in 2006. She currently works at Liaoning University as an associate professor. Her research interests include network congestion control, network performance analysis etc.

Yuanwei JING received his B.S. degree from Liaoning University in Mathematics Department in 1981. He also received M.S. degree and Ph.D. in Automatic Control Department of Northeastern University in 1984 and 1988 respectively. As a Post-doctor fellow, he worked in Faculty of Electrical Engineer of Saint Cyril and Saint Methodius University in 1996. From 1998 to 1999, he was a senior visiting scholar in Faculty of Computer Science Telecommunication of Missouri-Kansas City University. He currently works at Northeastern University as a professor and supervisor of Ph.D. candidates. His research interests include complex systems, telecommunication control, etc.

Yuanjiu GONG received his B.S. degree in Physics Department of Beijing University in 1986, he currently works at Liaoning University as a professor. His research interests include communication engineering and electronic engineering.

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Yin, F., Jing, Y. & Gong, Y. Congestion control algorithm in large-delay uncertain networks. J. Control Theory Appl. 5, 67–70 (2007). https://doi.org/10.1007/s11768-005-5002-2

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  • DOI: https://doi.org/10.1007/s11768-005-5002-2

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