Virtualization of Control Systems in IoT using Neural Networks
Aleksey Slepnev, Evgenii Karelin, Ivan Luksha, Ruslan Kirichek, Alina Zadorozhnyaya, Eugene Makarov · 2021
In the last few years, there has been a huge leap in the development of the Internet and data transmission networks in general. The number of Internet of Things devices is increasing every year, and by 2030 their estimated number will reach 125 billion. In accordance with this, the issue of traffic optimization and the transition to a new network architecture is becoming more and more relevant. Here is a method for optimization industrial traffic using a software and hardware complex for aggregation and prediction of commands by a neural network in this paper. Training based on artificially simulated data shows the result of at least 90% of the predictions of the entire chain of commands from the server to the client.