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Key challenges and emerging technologies in industrial IoT architectures: A review

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journal contribution
posted on 2022-12-14, 14:43 authored by Akseer Ali Mirani, Gustavo Velasco-Hernandez, Anshul Awasthi, Joseph Walsh

The Industrial Internet of Things (IIoT) is bringing evolution with remote monitoring, intelligent analytics, and control of industrial processes. However, as the industrial world is currently in its initial stage of adopting full-stack development solutions with IIoT, there is a need to address the arising challenges. In this regard, researchers have proposed IIoT architectures based on different architectural layers and emerging technologies for the end-to-end integration of IIoT systems. In this paper, we review and compare three widely accepted IIoT reference architectures and present a state-of-the-art review of conceptual and experimental IIoT architectures from the literature. We identified scalability, interoperability, security, privacy, reliability, and low latency as the main IIoT architectural requirements and detailed how the current architectures address these challenges by using emerging technologies such as edge/fog computing, blockchain, SDN, 5G, Machine Learning, and Wireless Sensor Networks (WSN). Finally, we discuss the relation between the current challenges and emergent technologies and present some opportunities and directions for future research work. 

Funding

Confirm Centre for Smart Manufacturing

Science Foundation Ireland

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Lero - the Irish Software Research Centre

Science Foundation Ireland

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Advanced Learning in Evolving Critical Systems

European Commission

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History

Publication

Sensors, 22, 5836

Publisher

MDPI

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  • LERO - The Irish Software Research Centre

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