Modelling Industrial IoT System Complexity

Freund, Lucas and Al-Majeed, Salah (2021) Modelling Industrial IoT System Complexity. In: International Conference on Innovation and Intelligence for Informatics, Computing and Technologies (3ICT), 2020.

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


The complexity of Industrial Internet of Things (IIoT) system is captivated via a static Euclidean complexity space, where information complexity boundaries expand over time and serve as an indicator for system instability. A model-based static and dynamic conceptions of complexity have been introduced. The necessary capabilities were theoretically demonstrated, alongside a set of assumptions concerning the behaviour of industrial system complexity and its functions as a core foundation for the proposed model. First ideas for practical implications for industrial IoT system complexity analysis are deducted and briefly discussed.

Divisions:College of Science > School of Computer Science
ID Code:46731
Deposited On:28 Sep 2021 15:37

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