| Summary: | 碩士 === 國立清華大學 === 電機工程學系 === 89 === In order to exploit the nonlinear time-varying property of network traffic,
the traffic flow from controlled sources is described by fuzzy autoregressive
moving-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 the
difficulty of the transmission delay in the design of congestion control,
the fuzzy traffic model is translated to an equivalent fuzzy predictive
traffic model. A fuzzy adaptive flow control scheme is proposed to avoid
congestion at high utilization while maintaining the quality of service at a
prescribed level. By use of fuzzy adaptive prediction technique, the
congestion control design difficulties due to nonlinearity, time-varying
characteristics and large propagation delay are overcome by the proposed
adaptive traffic control method. A comparative evaluation is also given to indicate
the superiority of the proposed method.
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