Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review

Version 1 : Received: 30 June 2022 / Approved: 1 July 2022 / Online: 1 July 2022 (17:11:41 CEST)

A peer-reviewed article of this Preprint also exists.

Mirani, A.A.; Velasco-Hernandez, G.; Awasthi, A.; Walsh, J. Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review. Sensors 2022, 22, 5836. Mirani, A.A.; Velasco-Hernandez, G.; Awasthi, A.; Walsh, J. Key Challenges and Emerging Technologies in Industrial IoT Architectures: A Review. Sensors 2022, 22, 5836.

Abstract

The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. A reference architecture provides the general layout information for the flexible integration of IIoT systems; however, as the industrial world is currently in its initial stage of adopting the full-stack development solutions with IIoT, some challenges need to be addressed. To cope with the rising challenges and provide the blueprint guidelines to develop and implement IIoT in real-time, researchers around the globe have proposed IIoT architectures based on different architectural layers and emerging technologies. In this paper, we first review and compare some widely accepted IIoT reference architectures and present a state-of-the-art review of conceptual and experimental IIoT architectures in literature. We highlight scalability, interoperability, security, privacy, reliability, and low latency as the main IIoT architectural requirements and compare how the current architectures address these challenges. We also highlight the role of emerging technologies in current IIoT architectures to address these requirements and present the literature gap for future research work to address the challenges.

Keywords

blockchain; Edge/Fog computing; IIoT architectures; Industry 4.0; interoperability; low latency; reliability; scalability; security; Software-Defined Networking

Subject

Engineering, Electrical and Electronic Engineering

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