Artificial Intelligence of Things: A review of its potential for sustainability

This article explores the role of Artificial Intelligence of Things (AIoT) in sustainable development, highlighting its potential to address global challenges and contribute to the achievement of the United Nations’ Sustainable Development Goals. AIoT combines AI with the Internet of Things, enhancing sustainable development by improving supply chain and transportation efficiency, reducing costs and fostering trust among partners. It also supports the development of sustainable rail transit systems, optimizes traffic control and facilitates autonomous driving. AIoT further streamlines manufacturing processes, increasing efficiency and minimizing waste. The study examines AIoT from academic, domain and industry-specific perspectives. AIoT systems face challenges related to data security, privacy, GDPR compliance, interoperability, financial investment and sustainability. Future research should focus on robust security protocols, energy-efficient hardware and renewable energy sources, requiring collaboration among academia, industry and government.

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Publication Details

Journal
International Journal of Technology Management and Sustainable Development
Published
2025-10-01
DOI
https://doi.org/10.1386/tmsd_00110_1
Primary Topic
Internet of Things and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence of Things: A review of its potential for sustainability

Abdelfetah Ouadah, Leila Zemmouchi-Ghomari
International Journal of Technology Management and Sustainable Development
Internet of Things and AI
article

Artificial Intelligence of Things: A review of its potential for sustainability

Abdelfetah Ouadah, Leila Zemmouchi-Ghomari
article en

Abstract

This article explores the role of Artificial Intelligence of Things (AIoT) in sustainable development, highlighting its potential to address global challenges and contribute to the achievement of the United Nations’ Sustainable Development Goals. AIoT combines AI with the Internet of Things, enhancing sustainable development by improving supply chain and transportation efficiency, reducing costs and fostering trust among partners. It also supports the development of sustainable rail transit systems, optimizes traffic control and facilitates autonomous driving. AIoT further streamlines manufacturing processes, increasing efficiency and minimizing waste. The study examines AIoT from academic, domain and industry-specific perspectives. AIoT systems face challenges related to data security, privacy, GDPR compliance, interoperability, financial investment and sustainability. Future research should focus on robust security protocols, energy-efficient hardware and renewable energy sources, requiring collaboration among academia, industry and government.

International Journal of Technology Management and Sustainable DevelopmentVol. 24(3)
Higher National Veterinary School (DZ), Ziane Achour University of Djelfa (DZ)
Industry, innovation and infrastructure
Openalex Percentile: Top 25%
Internet of Things and AI
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