Traffic Queuing Management in the Internet of Things: An Optimized RED Algorithm Based Approach

Congestion control is one of the main obstacles in cyberspace traffic.Overcrowding in internet traffic may cause several problems; such as high packethold-up, high packet dropping, and low packet output. In the course of data transmission for various applications in the Internet of things, such problems are usuallygenerated relative to the input. To tackle such problems, this paper presents an analytical model using an optimized Random Early Detection (RED) algorithm-basedapproach for internet traffic management. The validity of the proposed model ischecked through extensive simulation-based experiments. An analysis is observedfor different functions on internet traffic. Four performance metrics are taken intoconsideration, namely, the possibility of packet loss, throughput, mean queue lengthand mean queue delay. Three sets of experiments are observed with varying simulation results. The experiments are thoroughly analyzed and the best packet dropping operation with minimum packet loss is identified using the proposed model.