Research on Active Queue Management of Delay Network Based on Adaptive Control

Enhancing Active Queue Management (AQM) algorithms self-adapting and overcoming network delays poor effect are research emphases. After analyzing traditional PID control algorithms limitation, a novel active queue management algorithm for delay network based on Fuzzy Adaptive PID control and Gray-prediction (FAGPID) is proposed, which can achieve PID parameters on-line self-adapting by fuzzy control under the dynamic delay network circumstances. And, a gray-prediction algorithm is successfully introduced into feedback datas advanced prediction to compensate delay. Contrasted with traditional PID and FIGPID (Fuzzy Immue Gray-prediction PID) by simulations, FAGPID has equivalent performance to FIGPID and has better performance than traditional PID control. Both FAGPID and FIGPID can converge to queue size-setting value rapidly and stably, and get lesser packets loss rate, but FAGPIDs algorithm complexity is lower.