<sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures
Industry 4.0 is focused on the task of creating Smart Factories, which require the automation of traditional industrial processes and the fully connection and integration of different systems and devices. However, despite the wide availability of tools and technology, developing intelligent applicat...
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Format: | Article |
Language: | English |
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MDPI AG
2021-10-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/11/20/9670 |
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author | Giansalvatore Mecca Michele Santomauro Donatello Santoro Enzo Veltri |
author_facet | Giansalvatore Mecca Michele Santomauro Donatello Santoro Enzo Veltri |
author_sort | Giansalvatore Mecca |
collection | DOAJ |
description | Industry 4.0 is focused on the task of creating Smart Factories, which require the automation of traditional industrial processes and the fully connection and integration of different systems and devices. However, despite the wide availability of tools and technology, developing intelligent applications in the industry framework remains a complex and expensive task. This paper proposes a lightweight, extensible and scalable framework called IoT Helper to facilitate the adoption of IoT and IIoT solutions both in industry and domotics. The framework is designed to be highly flexible and declarative in nature, thus allowing for a wide range of configurations with minimal user efforts. To emphasize the practical applicability or our proposal, we present two real-life use cases where the framework was successfully adopted. We also investigate a crucial aspect of these applications, i.e., what level of scalability can be achieved with a lean generic framework based on inexpensive components such as ours. Comprehensive experimental results show the excellent cost-to-performance ratio of our solution. We consider this to be an important contribution because it paves the way for a more widespread adoption of IIoT-enabling technologies in industry. |
first_indexed | 2024-03-10T06:43:58Z |
format | Article |
id | doaj.art-078025f773384cc9ae024b3053071c9b |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T06:43:58Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-078025f773384cc9ae024b3053071c9b2023-11-22T17:22:29ZengMDPI AGApplied Sciences2076-34172021-10-011120967010.3390/app11209670<sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT ArchitecturesGiansalvatore Mecca0Michele Santomauro1Donatello Santoro2Enzo Veltri3Dipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyDipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyDipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyDipartimento di Matematica, Informatica ed Economia, Università Degli Studi Della Basilicata, 85100 Potenza, ItalyIndustry 4.0 is focused on the task of creating Smart Factories, which require the automation of traditional industrial processes and the fully connection and integration of different systems and devices. However, despite the wide availability of tools and technology, developing intelligent applications in the industry framework remains a complex and expensive task. This paper proposes a lightweight, extensible and scalable framework called IoT Helper to facilitate the adoption of IoT and IIoT solutions both in industry and domotics. The framework is designed to be highly flexible and declarative in nature, thus allowing for a wide range of configurations with minimal user efforts. To emphasize the practical applicability or our proposal, we present two real-life use cases where the framework was successfully adopted. We also investigate a crucial aspect of these applications, i.e., what level of scalability can be achieved with a lean generic framework based on inexpensive components such as ours. Comprehensive experimental results show the excellent cost-to-performance ratio of our solution. We consider this to be an important contribution because it paves the way for a more widespread adoption of IIoT-enabling technologies in industry.https://www.mdpi.com/2076-3417/11/20/9670embedded-system controledge computingInternet of Thingsopen-source softwaresmart manufacturing |
spellingShingle | Giansalvatore Mecca Michele Santomauro Donatello Santoro Enzo Veltri <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures Applied Sciences embedded-system control edge computing Internet of Things open-source software smart manufacturing |
title | <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures |
title_full | <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures |
title_fullStr | <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures |
title_full_unstemmed | <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures |
title_short | <sans-serif>IoT Helper</sans-serif>: A Lightweight and Extensible Framework for Fast-Prototyping IoT Architectures |
title_sort | sans serif iot helper sans serif a lightweight and extensible framework for fast prototyping iot architectures |
topic | embedded-system control edge computing Internet of Things open-source software smart manufacturing |
url | https://www.mdpi.com/2076-3417/11/20/9670 |
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