Project

KITOS

Künstliche Intelligenz zur dynamischen Optimierung des Netzwerkmanagements

Künstliche Intelligenz zur dynamischen Optimierung des Netzwerkmanagements

  • Duration:

The overall goal is to provide industrial networks with the necessary dynamics and methods for self-healing and self-optimization in order to generate the necessary agility and reliability that future production processes in Industry 4.0 require. TSN is used as the basis for networking. Kl algorithms are developed which support configuration tools in decision making in order to achieve a more efficient use of resources as well as higher performance configurations. For active operation, the network management is hardened against failures by means of Kl supported error detection and adaptation mechanisms.

Partners

Assoziierte Partner:

Sponsors

Federal Ministry of Education and Research (BMBF)

16KIS1158K

Federal Ministry of Education and Research (BMBF)

Publications about the project

Maximilian Berndt, Christoph Fischer, Dennis Krummacker

In: 2020 1st Workshop on Next Generation Networks and Applications (NGNA). Workshop on Next Generation Networks and Applications (NGNA-2020) December 14-18 Kaiserslautern Germany Technische Universität Kaiserslautern Kaiserslautern 12/2020.

To the publication
Christoph Fischer, Maximilian Berndt, Dennis Krummacker

In: 2020 1st Workshop on Next Generation Networks and Applications (NGNA). Workshop on Next Generation Networks and Applications (NGNA-2020) December 14-18 Kaiserslautern Germany Technische Universität Kaiserslautern Kaiserslautern 12/2020.

To the publication

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz