Fuzzy Adaptive Tuning of Router Buffers for Congestion Control
نویسندگان
چکیده
Network Congestion occurs when the aggregate demand for bandwidth exceeds the available capacity of a link and when the arrival rate to the router is greater than its departure. To solve this problem, it is necessary that the router must implement effective queuing algorithm that governs how packets are buffered while waiting to be transmitted. According to the dynamic of input packets and available link bandwidth, queue management becomes very complex. For this reason it is better to use an intelligent algorithm. In this paper, a Fuzzy Inference System implementation for Drop Tail, Adaptive Drop Tail-Fuzzy Logic (ADT-FL) is proposed which regulates the queue size of the router buffers based on prevailing traffic conditions and available link bandwidth preventing the router buffers from becoming full when congestion occurs. Simulation results are provided to show that ADT-FL has better performance and lower loss rate than the conventional queuing algorithms used in current internet buffers.
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