IBLUE:A Novel Active Queue Management Method

In order to mitigate the network congestion problem,a novel active queue management method (Immune clonal simulated annealing-based BLUE,IBLUE) is proposed by BLUE algorithm.In this method,the range of queue length and dropping rate are re-defined,and the average queue length is depicted by immune clonal simulated annealing.Then,a simulation with actual data was conducted to study key factor in IBLUE.The results show that, compared to BLUE and BLUE⁺,IBLUE has better adaptability.