01417nas a2200205   4500000000100000000000100001008004100002260001200043100001800055700001900073700002100092700002400113700001700137700001900154245008700173856007100260490000800331520085800339022001401197       2021                            d  c01/20211 aDariusz Marek1 aAdam Domański1 aJoanna Domańska1 aTadeusz Czachórski1 aJerzy Klamka1 aJakub Szyguła00aCombined diffusion approximation - simulation model of AQM’s transient behaviour  uhttp://www.sciencedirect.com/science/article/pii/S01403664203199400 v1663 a<p>The article introduces an approach combining diffusion approximation and simulation ones. Furthermore, it describes how it can be used to evaluate active queue management (AQM) mechanisms. Based on the obtained queue distributions, the simulation part of the model decides on package losses and modifies the flow intensity sent by the transmitter. The diffusion is used to estimate queue distributions and the goal of the simulation part of the model is to represent the AQM mechanism. On the one hand, the use of the diffusion part considerably accelerates the performance of the whole model. On the other hand, the simulation increases the accuracy of the diffusion part. We apply the model to compare the performance of fractional order PIη controller used in AQM with the performance of RED, a well known active queue management mechanism.</p>
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