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
Xiang Shao-hua Xu Bu-gong Peng Da-zhou Wu Sai
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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
Xiang Shao-hua Xu Bu-gong Peng Da-zhou Wu Sai. Robust AQM Congestion Control Algorithm Based on Gain Adaptive Smith Predictor[J]. Journal of South China University of Technology (Natural Science Edition), 2006, 34(9): 40-44.
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