Improving the Adaptability of AQM Algorithms to Traffic Load Using Fuzzy Logic
نویسندگان
چکیده
Adaptive RED (ARED) is an active queue management (AQM) designed for congestion responsive traffics such as TCP. ARED aims to keep average queue length around a predefined queue length. If so, average delay will be offered to Internet users and simultaneously high link utilization will be achieved. However, ARED algorithm merely makes the average queue length loosely converge to the target length with low responsiveness and low stability. One reason for this is that ARED uses a fixed increase step-size to adjust the maximum dropping probability to the current traffic load. In this paper, fuzzy logic (FL) controller has been designed to adaptively obtain the increase step-size of the maximum dropping probability based on the current traffic conditions. The simulation results show the proposed FL scheme improves the ARED’s adaptability to the current traffic loads, consequently achieving the desired target queue length with better performance than ARED, while keeping very similar drop rate and link utilization.
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