Dynamic Queue Management Using Neural Network Based on Balanced RED

In this paper we present a new technique for network congestion avoidance and control, based on early Balanced Random Early Detection algorithm (BRED). We haveoptimized BRED algorithm so that the new algorithm can dynamically detect non-adaptive flows and limit receive ratefrom them, to provide fairness between flows and avoidoccurring congestion and buffer overflow. In this method we have used time delay line neural network as system’s core todetect and separate adaptive and non-adaptive flows. We will discuss about the algorithm and compare simulation results with BRED and Drop Tail

Keywords:

Congestion Control , Computer Networks , TDL Neural Network , Active Queue Management , Balanced RED