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Abstract
This paper presents an overview of how Artificial Intelligence (AI) and edge technology have been used to improve wireless connectivity in multiple industrial Use Cases (UCs) of the EU project “Intelligent Secure Trustable Things” (InSecTT). We present a brief introduction of the InSecTT framework for crossdomain architecture design, which targets UCs assisted by reusable and/or interoperable technical Building Blocks (BBs). These BBs constitute the construction bricks containing AI and supporting components that were used to build different UCs. The framework consists of multiple stages based on the processing of UC/BB requirements (RQs). These stages include: i) collection, ii) harmonization, iii) refinement, iv) classification, v) architecture alignment, and vi) functionality modeling of RQs. The most relevant results of these stages are discussed here, with emphasis on the need for a refined granularity of technical components with common functionalities named sub-building blocks (SBBs), where collaboration and cross-domain reusability were optimized. The design process shed light on how AI and SBBs were implemented across different layers and entities of our reference architecture for the Internet-of-Things (IoT), including the interfaces used for information exchange. This detailed interface analysis is expected to reveal issues such as bottlenecks, constraints, vulnerabilities, scalability problems, security threats, etc. This will, in turn, contribute to identifying design gaps in AI-enabled IoT systems. The paper summarizes the SBBs related to wireless connectivity, including a general description, implementation issues, comparison of results, adopted interfaces, and conclusions across domains.
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Authors (20)
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Ramiro Samano Robles
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Gowhar Javanmardi
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Christoph Pilz
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Luca Davoli
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Laura Belli
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Gianluigi Ferrari
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Bernd-Ludwig Wenning
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Bugra Gonca
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R. Venkatesha Prasad dr
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Ashutosh Simha
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Markku Kiviranta
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Ilkka Moilanen
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Sean Robinson
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Gennaro Cirill
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Mujdat Soyturk
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Yavuz Selim Bostanci
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Leander B. Hörmann
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/OJIES.2025.3560946
- License
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Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach dostępnych w wersji elektronicznej [także online]
- Published in:
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IEEE Open Journal of the Industrial Electronics Society
pages 1 - 19,
ISSN: - Language:
- English
- Publication year:
- 2025
- Bibliographic description:
- Robles R. S., Javanmardi G., Pilz C., Kwapisiewicz P., Rzymowski M., Kulas Ł., Davoli L., Belli L., Ferrari G., Wenning B., Gonca B., Prasad R. V., Simha A., Kiviranta M., Moilanen I., Robinson S., Cirill G., Soyturk M., Bostanci Y. S., Hörmann L. B., Artificial Intelligence for Wireless Communications: the InSecTT perspective, IEEE Open Journal of the Industrial Electronics Society, 2025,10.1109/OJIES.2025.3560946
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/ojies.2025.3560946
- Sources of funding:
- Verified by:
- Gdańsk University of Technology
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