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Congestion control strategy for transient video source in ATM networks

It is anticipated that video traffic will constitute a significant portion of the load in ATM(Asynchronous Transfer Mode) networks. In this paper, the congestion control due to transient video source has been studied. We propose an algorithm for the congestion occurring,especially, due to scene changes in variable bit rate video source in ATM network.Firstly, video source is modeled by three-state Markov chains including the effects of scene-change at which the bit rate of video source be abruptly increased. Secondly, the scene-change in video source is detected by using the first and second-order statisticparameters (Mean, Variance and Autocorrelation Function). Finally, based on the statistic parameters, the algorithm for the congestion control is developed. We confirm the effectiveness of the proposed algorithm by numerical calculation and simulation results.