Real-Time Performance of Industrial IoT Communication Technologies: A Review

Abstract

With the growing need for automation and the ongoing merge of OT and IT, industrial networks have to transport a high amount of heterogeneous data with mixed criticality such as control traffic, sensor data, and configuration messages. Current advances in IT technologies furthermore enable a new set of automation scenarios under the roof of Industry 4.0 and IIoT where industrial networks now have to meet new requirements in flexibility and reliability. The necessary real-time guarantees will place significant demands on the networks. In this paper, we identify IIoT use cases and infer real-time requirements along several axes before bridging the gap between real-time network technologies and the identified scenarios. We review real-time networking technologies and present peer-reviewed works from the past 5 years for industrial environments. We investigate how these can be applied to controllers, systems, and embedded devices. Finally, we discuss open challenges for real-time communication technologies to enable the identified scenarios. The review shows academic interest in the field of real-time communication technologies but also highlights a lack of a fixed set of standards important for trust in safety and reliability, especially where wireless technologies are concerned.

Research on Safety Monitoring System for Dangerous Goods Transport Vehicles Based on Wireless Sensor Networks

“…Based on data fusion, reliable identification algorithms are needed to discern the levels of danger. Common state identification methods include wavelet transform, artificial neural networks, and cluster analysis [16]. During the state identification process, it's necessary to explore new or improved identification algorithms to enhance accuracy and reduce false positives.…”

A Dynamic IIoT Framework Based on the Publish–Subscribe Paradigm

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