A Detailed Study on Optimal Traffic Flow in Tandem Communication Networks

Abstract

The utilization of communication networks is increasing in a rapid manner day to day. As the network models are growing a lot, the people using those networks are also increasing a lot. As the number of users is increasing, the provision of Internet and other network facilities also had to be increased. The increase of facilities will cost a lot, as the cost of this network equipment will be more. Hence, before going for the actual installation and utilization of these facilities, the models are based on the real-time situation scenarios and those network models are studied in detail for the better understanding and for better proper utilization and installation of the network facilities. Several models had been developed in the literature for various scenarios. In the current model, a particular situation of the network model was taken by choosing that the model was in forked model condition. Forked model condition means the two nodes are connected in parallel to each other, and the other third node was connected in series with the other two-node parallel combination. The flow of the network will first cross the two nodes which were connected in parallel to each other and then the flow will be carried to the third node in serial communication. The distribution to be considered here for the data flow was the Poisson process with binomial bulk arrivals. In that scenario, the performance of the network model is calculated, and the sensitivity of the model also calculated. The results are discussed in detail in the results section.