Maximizing Efficiency and Controlling Congestion in Interlinked Queueing Models for Integrated Voice and Data Communication Networks

This paper introduces an interdependent tandem queueing model for communication networks. The model effectively transports voice and data traffic by adopting strong packet switching and multiplexing capabilities. Application of the bit-dropping scheme as the best congestion control mechanism in the network model encapsulates one of the primary thrusts of this study. Performance measures of statistical multiplexing are built in the research, e.g., approximating the correlated arrival and service processes to the Poisson process, an empirical model employed in the modeling of random events. Importantly, the study illustrates the practical advantages of interdependent communication networks. In particular, it shows their ability to decrease the average transmission delay, or the time for data to pass through the network, as well as buffer level fluctuation. These results show the potential of interdependent networks to optimize network efficiency, a significant issue in modern communication systems.