EXPONENTIAL-SELF-ADAPTIVE RANDOM EARLY DETECTION SCHEME FOR QUEUE MANAGEMENT IN NEXT GENERATION ROUTERS

ensuring optimal performance in next-generation routers. Active Queue Management (AQM) scheme, has been advocated by the Internet research community for next generation Random Early Detection (RED) is most well-known AQM scheme. However, RED lacks self-adaptation mechanism and it susceptible to parametrization problem. Several variants of were developed, however all them possess a static drop pattern; as such they are severely affected when traffic load changes. To address shortcoming its variant schemes, Self-Adaptive (SARED) scheme was developed. avoid congestion, SARED aggressively drops packets once queue length reached certain maximum threshold limit, subsequently, this will increase average queuing delay networks with high conditions, therefore, eliminate aggressiveness situations, an Exponential version proposed paper. Results simulation experiments carried out have indicated that Exponential-SARED (ESARED) significantly reduced 4% maximized throughput 3% compared QERED.