Congestion Control Approach based on Effective Random Early Detection and Fuzzy Logic
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Congestion in router buffer increases the delay and packet loss. Active Queue Management (AQM) methods are able to detect congestion in early stage and control it by packet dropping. Effective Random Early Detection (ERED) method, among many other AQM methods, gives a good performance in detect and control congestion and preserve packet loss. However, the ERED neglect the delay factor, which is effect the performance of the network. Moreover, ERED has a real parameterization problem. Several parameters have to be initialized to optimal values to obtain satisfactory results. This paper proposed an extended ERED method that considers the delay in its process and combines the extended ERED method with a Fuzzy Inference Process that eases the problem of parameter initialization. The results show that the parametric-based form of the proposed work gives a better performance results, according to the performance measures, delay, dropping and packet loss. The loss has been enhanced by 10-100 has been enhanced by 30-60 proposed method is better than the parametric-based form and ERED in terms of delay and packet loss.
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