Network Traffic Model for Industrial Environment

In this paper, a model of LAN traffic is presented. In the model, the most important components influencing the network traffic are taken into account. Namely, the transmission protocols and information buffering, operating systems, and queuing algorithms as well as user behavior in network applications are considered. The model is based on an "on-off" function. The network traffic observed at the physical layer is a superposition of many sequential and self-similar "on-off" processes. It has been shown that the self-similarity of the traffic, measured by the Hurst parameter, changes from almost 1.0 for very low frequencies to 0.5 for high frequencies