An Innovative Active Queue Management Model Through Threshold Adjustment Using Queue Size

Abstract

AbstractThe basic philosophy behind RED is to prevent congestion. To overcome the problem in RED without changing queue weight parameter, we have proposed four models to control the congestion by introducing range parameter with probability and control mechanism which will belong between minimum and maximum threshold. The current queue size is controlled together with average queue size. A new range variable has been introduced to improve the performance of priority queue of existing RED-based algorithm which improves the overall performance of networks. For each packet, minimum and maximum thresholds have been updated and dropped with probability (Pa) for a special condition. Instead of multiplicative-increase and multiplicative-decrease in the maximum probability, the scheme uses additive-increase and multiplicative-decrease. As the AVG queue length approaches the minimum threshold value, our method automatically adjusts the queue parameter to the current queue conditions, reducing queuing time and increasing throughput. The simulated results proof that our approaches are better than RED in terms of throughput, end-to-end delay, packet delivery ratio, and goodput.KeywordsREDAQMMANETThroughputGoodput