Publication Type
Journal Article
Version
publishedVersion
Publication Date
5-2025
Abstract
The Internet of Things (IoT) is a modern technology that has gained large popularity and is still developing. Connecting heterogeneous devices, such as phones, vehicles, and household appliances, IoT has brought convenience to our lives. Further, IoT plays a significant role in enhancing environmental sustainability. It provides timely data about different devices and enables users and managers to directly control the objects. IoT can optimize the existing energy systems and promote the usage of renewable technologies. In this paper, we discuss how IoT supports green initiatives (i.e., how it is applied in different sectors), how it can be "green" itself (i.e., from both the technical and managerial perspectives), and future directions of the advancement of IoT (e.g., IoT in the AI and Metaverse age). Specifically, we explain how IoT enhances environmental sustainability in different sectors, including energy, agriculture, smart cities, and transportation. We also show how IoT can be green itself through technical and managerial approaches. Further, we discuss how IoT can be integrated with AI, such as Generative AI, Agentic AI, and the Metaverse, to enhance impacts. Clearly, IoT has the potential to be further developed and make an even greater contribution to environmental sustainability.
Keywords
Artificial Intelligence (AI), Generative AI, Agentic AI, Internet of Things (IoT), Metaverse, Sustainability
Discipline
Artificial Intelligence and Robotics | Databases and Information Systems
Research Areas
Intelligent Systems and Optimization
Areas of Excellence
Digital transformation
Publication
IEEE Internet of Things Magazine
Volume
8
Issue
3
First Page
92
Last Page
98
ISSN
2576-3180
Identifier
10.1109/IOTM.001.2400179
Publisher
Institute of Electrical and Electronics Engineers
Citation
QIAN, Yuzhou and SIAU, Keng.
IoT in sustainability and IoT in the AI and metaverse age. (2025). IEEE Internet of Things Magazine. 8, (3), 92-98.
Available at: https://ink.library.smu.edu.sg/sis_research/10902
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/IOTM.001.2400179