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IoT-AID: An Automated Decision Support Framework for IoT

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Abstract

The Industry 4.0 emphasizes the extensive utilization of Cyber Physical Systems (CPSs) that can be deployed across various application domains. Designing and implementing CPSs for different applications require tailored architectures encompassing physical sensors and cyber systems management, as well as ensuring seamless communication between various subsystems. However, the lack of essential knowledge among researchers and engineers poses a challenge in creating autonomous CPSs. To address this challenge, this paper introduces the concept of a novel Cyber Physical Recommendation System (IoT-AID). The proposed automated decision support framework aims to support researchers and engineers in designing and building more efficient CPSs based on specific objectives, domains, and input application scenarios. By employing a unique architecture model encompassing components, connections, and tasks of CPSs, the IoT-AID recommends the necessary components for the desired CPS. Ultimately, this proposed framework aims to facilitate the progression of leading factories towards achieving the full potential of the fourth industrial revolution.

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Acknowledgements

The authors would like to thank the University of the Littoral Cote d’Opale, and the Lebanese University for the financial support.

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Authors and Affiliations

  1. LISIC, Laboratoire d’Informatique Signal et Image de la Cˆote d’Opale, L, Univ. Littoral Cˆote d’Opale, Calais, France

    Mohammad Choaib & Mourad Bouneffa

  2. Department of Electronics and Physics, Lebanese University, Hadat, Lebanon

    Mohammad Choaib & Yasser Mohanna

  3. IRIT-(CNRS/UMR 5505), Universit´e de Toulouse Capitole, Toulouse, France

    Moncef Garouani

  4. UDSMM, Unit´e de Dynamique et de Structure des Mat´eriaux Mol´eculaires, Univ. Littoral Cˆote d’Opale, Calais, France

    Nicolas Waldhoff

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  1. Mohammad Choaib
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  4. Nicolas Waldhoff
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  5. Yasser Mohanna
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Correspondence to Mohammad Choaib.

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This article is part of the topical collection “Recent Trends on Enterprise Information Systems” guest edited by Joaquim Filipe, Michał Śmiałek, Alexander Brodsky and Slimane Hammoudi.

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Choaib, M., Garouani, M., Bouneffa, M. et al. IoT-AID: An Automated Decision Support Framework for IoT. SN COMPUT. SCI. 5, 429 (2024). https://doi.org/10.1007/s42979-024-02780-x

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