For industrial communication, the manufacturing sector requires guaranteed and reliable communication channels according to industrial standards that fulfill the usual and also required QoS criteria in future scenarios (e.g., within and between factory sites).
Industrial communication requires a highly efficient, scalable and abstracted networking infrastructure that can be configured automatically by applications, is largely completely self-managing and merges with data processing, especially data integration, storage and analysis.
Furthermore, future communication systems must be robust against errors and external influences (e.g., self-sufficient subsystems to meet safety requirements). Basic IT technologies are available that must be further developed and adapted to the requirements of the industrial Internet, especially with regard to real-time-oriented data processing as well as reliability and data security. It is important here that the system is considered as a whole and the required features must normally be provided end-to-end.
Through the interaction of all components, the industrial communication of the future enables a real-time capable, virtual image of the state of a complete factory / value chain and thus provides a central basis for future and innovative IT services and thus for new competitive advantages....

Currently, research in the context of 5G for cyber physical systems (CPS) and intelligent sensor networks is also investigating industrial Fog Computing architectures, which can be extended for later integration of automated monitoring and control as well as error detection mechanisms of the data. To the best of our knowledge, however, the topic of certified and secure recording and transmission of measured values from wireless sensor networks has not yet been addressed in detail. New decentralized paradigms and rules are required for networked wireless measurement systems and methods for secure real-time-capable status monitoring (monitoring of delay times, QoS parameters), for distributed calibration, triggering and synchronization across multiple nodes in 5G-based wireless networks.

GEMIMEG will target automated decentralized as well as hybrid sensor networks and thus extend previous approaches of centralized data processing in hierarchical aggregation levels for industrial sensor networks (project IC4F). The combination of the two projects also opens up a wide range of possibilities for linking security-relevant procedures with digital identity management and making them efficiently usable:

1.    A public key infrastructure (PKI) can be linked to the Digital Calibration Certificate (DCC) to combine validated calibration information and device-specific keys,
2.    information about detected or suspected attack vectors can be automatically stored directly in the DCC and thus made traceable at any time, and
3.    mathematical methods and models for avoiding interference can be linked to information about the measurement capability of the sensors.