Towards Congestion Control Approach Based on Weighted Random Early Detection and Type-2 Fuzzy Logic System

Congestion is the most important and greatest challenge facing the transmission of data packets across computer networks. It is possible that the network congestion occurs in the transmission medium between network devices such as routers, switches etc. This paper reports on the work in progress to extend the Weighted Random Early Detection (WRED) algorithm by supplying the measured delay into its main algorithm, as the delay can be estimated based on the load factor. This will be followed by a type-2 fuzzy logic system to handle the nonlinear parameter uncertainties and obtain more satisfactory results in terms of packet loss in the event of heavy congestion. The proposed technique will use the OMNeT++ IDE and object-oriented programming.