Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (9): 40-44.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Robust AQM Congestion Control Algorithm Based on Gain Adaptive Smith Predictor

Xiang Shao-hua  Xu Bu-gong  Peng Da-zhou  Wu Sai   

  1. School of Automation Science and Engineering,South China Univ.of Tech.,Guangzhou 510640,Guangdong,China
  • Received:2005-10-11 Online:2006-09-25 Published:2006-09-25
  • Contact: 向少华(1975-),男,博士,主要从事网络拥塞控制和网络化控制系统理论与应用方面的研究 E-mail:xsh880@163.com
  • About author:向少华(1975-),男,博士,主要从事网络拥塞控制和网络化控制系统理论与应用方面的研究
  • Supported by:

    国家自然科学基金重点资助项目(60334010);国家自然科学基金资助项目(60474047);高等学校博士学科点专项基金资助项目(20030561013);广东省自然科学基金博士启动项目(04300046)

Abstract:

A robust AQM (Active Queue Management)congestion control algorithm (GAS-PI)is proposed on the basis of the gain adaptive Smith predictor and according to the Lyapunov asymptotic stability theorem.This algo-rithm is of simple structure,good robustness and excellent network control performance.Moreover,it overcomes the negative impact on the queue stability caused by the large delay.Simulated results indicate that,by the proposed GAS-PI algorithm ,the overshoot of queue can be effectively decreased,and a higher responsive speed as well as a steadier queue can be obtained,that is,the buffer queue quickly converges to the equilibrium point when the net-work is of HTTP disturbance and great overload change.and the dynamic perform ance of large-delay networks remains in good condition.

Key words: congestion control, Active Queue Management, large delay, gain, Smith predictor