Abstract
In order to exploit the nonlinear time-varying property of network traffic,the traffic flow from controlled sources is described by fuzzy autoregressivemoving-average model with auxiliary input(ARMAX process), with the traffic flow from uncontrolled sources(i.e., cross traffic)being described as external disturbances. In order to overcome thedifficulty of the transmission delay in the design of congestion control,the fuzzy traffic model is translated to an equivalent fuzzy predictivetraffic model. A fuzzy adaptive flow control scheme is proposed to avoidcongestion at high utilization while maintaining the quality of service at aprescribed level. By use of fuzzy adaptive prediction technique, thecongestion control design difficulties due to nonlinearity, time-varyingcharacteristics and large propagation delay are overcome by the proposedadaptive traffic control method. A comparative evaluation is also given to indicatethe superiority of the proposed method.