A Dynamic IIoT Framework Based on the Publish-Subscribe Paradigm.

Area of Science:

• Industrial Automation
• Internet of Things (IoT)
• Distributed Systems

Background:

• The Industrial Internet of Things (IIoT) integrates devices for automation but faces challenges like device diversity, connectivity, and security.
• Existing IIoT solutions often lack flexibility due to the complexity and heterogeneity of industrial environments.
• There is a need for adaptable frameworks that can manage diverse industrial components and ensure efficient data processing.

Purpose of the Study:

• To propose a distributed and customizable IIoT framework.
• To facilitate seamless interaction between diverse industrial devices and systems.
• To enable efficient data processing and decision-making at the network edge.

Main Methods:

• A distributed framework deployed on fog nodes within an IIoT architecture.
• Integration capabilities for local (low-latency) and global (Internet-latency) device interactions.
• Incorporation of fog nodes for CANOpen network integration into the IIoT architecture.

Main Results:

• The proposed framework demonstrates customizability for varied industrial needs.
• Decision operations can be performed at the network edge, significantly reducing latency.
• Successful integration of CANOpen networks into a broader IIoT ecosystem.

Conclusions:

• The developed framework offers a flexible and efficient solution for IIoT challenges.
• Edge computing capabilities within the framework minimize latency for critical industrial operations.
• The customizable nature of the framework supports diverse industrial environments and requirements.