The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case
Open accessAbstract
Internet of Things (IoT) can help to pave the way to the circular economy and to a more sustainable world by enabling the digitalization of many operations and processes, such as water distribution, preventive maintenance, or smart manufacturing. Paradoxically, IoT technologies and paradigms such as edge computing, although they have a huge potential for the digital transition towards sustainability, they are not yet contributing to the sustainable development of the IoT sector itself. In fact, such a sector has a significant carbon footprint due to the use of scarce raw materials and its energy consumption in manufacturing, operating, and recycling processes. To tackle these issues, the Green IoT (G-IoT) paradigm has emerged as a research area to reduce such carbon footprint; however, its sustainable vision collides directly with the advent of Edge Artificial Intelligence (Edge AI), which imposes the consumption of additional energy. This article deals with this problem by exploring the different aspects that impact the design and development of Edge-AI G-IoT systems. Moreover, it presents a practical Industry 5.0 use case that illustrates the different concepts analyzed throughout the article. Specifically, the proposed scenario consists in an Industry 5.0 smart workshop that looks for improving operator safety and operation tracking. Such an application case makes use of a mist computing architecture composed of AI-enabled IoT nodes. After describing the application case, it is evaluated its energy consumption and it is analyzed the impact on the carbon footprint that it may have on different countries. Overall, this article provides guidelines that will help future developers to face the challenges that will arise when creating the next generation of Edge-AI G-IoT systems.
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Cited by
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A framework of digital technologies for the circular economy: digital functions and mechanisms
Liu, Q., Trevisan, A. H., Yang, M., & Mascarenhas, J. (2022) · Business Strategy and the Environment · doi:10.1002/bse.3015 · Cited by 324
Edge computing for Industry 5.0: fundamental, applications and research challenges
Sharma, M., Tomar, A., & Hazra, A. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3359297 · Cited by 312
Blockchain-based trust mechanism for digital twin empowered Industrial Internet of Things
A., S., Vairavasundaram, S., Kotecha, K., V., I., Ravi, L., Selvachandran, G., & Abraham, A. (2023) · Future Generation Computer Systems · doi:10.1016/j.future.2022.11.002 · Cited by 156
Metadata
- Authors
- Fraga-Lamas, P., Lopes, S. I., & Fernández-Caramés, T. M.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2021-08-26
- Volume
- 21
- Issue
- 17
- Pages
- 5745
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W3195580945
- Cited by
- 405
- References
- 23
- FWCI
- 25.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- Fraga-Lamas, P., Lopes, S. I., & Fernández-Caramés, T. M. (2021). Green IoT and Edge AI as Key Technological Enablers for a Sustainable Digital Transition towards a Smart Circular Economy: An Industry 5.0 Use Case. Sensors. https://doi.org/10.3390/s21175745
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