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Regular version of the site

Book chapter

Modeling of IIoT Traffic Processing by Intra-Chip NoC Routers of 5G/6G Networks

P. 1-5.
Kutuzov D., Osovsky A., Stukach O., Starov D.

The concept of 5G/6G networks is widely used to
design networks of Internet of Things (IoT) and Industrial IoT
(IIoT) devices. The characteristics of IIoT traffic can differ
significantly from the characteristics of voice traffic, so models
are required to analyze IIoT traffic. In this paper, we examined
the features of IIoT traffic: the Gaussian model of WSN
networks, ON/OFF, which is used for target tracking sensors,
models with heavy tails (Pareto, Weibull, lognormal distribution,
etc.), self-similar (fractal) models - based on normalized Fractal
Brownian Motion (fBM) and Fractal Gaussian Noise (fGN), as
well as the IIoT traffic model. The models are obtained
empirically and approximated by known models of probability
distributions. We investigated an exponential distribution IIoT
traffic model. In addition, we considered the prospects of using
switch fabric of NoC technology and came to the conclusion that
decentralization of the process of establishing connections in
switch fabric has significant advantages: it allows you to flexibly
distribute incoming traffic; perform distributed arbitration;
flexibly scale the communication system, with a large traffic flow
from one of the system inputs, to split it by assigning many
different routes for its transmission; improves system reliability
by allowing reconfiguration of the switch fabric. We model the
processing of traffic from such systems as OBS, 1C web systems,
OWM, OSM by parallel switch fabric of NoC technology. We
used the previously created simulation model of the NoC 5×5
switching system and simulated the processing of traffic having
an exponential distribution with different parameter values and
different packet processing times.