FLAG: A Fuzzy Local FairRate Generator for Resilient Packet Ring

Abstract

A local fairRate generator using fuzzy logic and the moving average technique is proposed for the resilient packet ring (RPR). The fuzzy local fairRate generator (FLAG) is designed to achieve both low convergence time and high system throughput, besides fairness. It contains three functional blocks, an adaptive fairRate calculator (AFC) to properly preproduce a local fairRate by the moving average technique, a fuzzy congestion detector (FCD) to intelligently estimate the congestion degree of the station, and a fuzzy fairRate generator (FFG) to precisely generate the local fairRate. Simulation results show that only the FLAG can stabilize all flows in parking lot scenarios with different finite traffic demands, compared with the conventional aggressive mode (AM) and distributed bandwidth allocation (DBA) fairness algorithms. Also, it attains a convergence time lower than the AM fairness algorithm by at least 7 times and the DBA fairness algorithm by at least 2 times in parking lot scenarios with greedy traffic demands.