AI, IoT, and Smart Technologies for Environmental Resilience and Sustainability — Comprehensive Review

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Author(s)

Bala Dhandayuthapani V. 1,*

1. Department of IT, College of Computing and Information Sciences, University of Technology and Applied Sciences, Shinas Campus, Oman

* Corresponding author.

DOI: https://doi.org/10.5815/ijieeb.2024.05.04

Received: 1 Mar. 2024 / Revised: 17 Apr. 2024 / Accepted: 25 May 2024 / Published: 8 Oct. 2024

Index Terms

Artificial Intelligence (AI), Environmental Resilience, Internet of Things (IoT), Smart Technologies, Sustainable Development

Abstract

This research explores the integration of artificial intelligence (AI), the internet of things (IoT), and smart technologies in sustainable development. The study identifies the applications of AI in waste management, smart cities, energy optimization, the green internet of things (GIoT), environmental resilience, pollution mitigation, and sustainable agriculture practices. The research emphasizes the need for a comprehensive approach to harness the potential of AI and IoT for sustainable development. The study also highlights the economic, social, and environmental dimensions of sustainable development and the implications of AI in these areas. The findings suggest that AI can contribute to inclusive and responsible economic growth, social equity and well-being, environmental conservation, and efficient resource utilization. The research provides valuable insights for researchers, practitioners, and policymakers working on sustainable development. 

Cite This Paper

Bala Dhandayuthapani V., "AI, IoT, and Smart Technologies for Environmental Resilience and Sustainability — Comprehensive Review", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.16, No.5, pp. 75-84, 2024. DOI:10.5815/ijieeb.2024.05.04

Reference

[1]N. Baras, D. Ziouzios, M. Dasygenis, and C. Tsanaktsidis, "A cloud-based smart recycling bin for waste classification," 2020 9th Int. Conf. Mod. Circuits Syst. Technol. MOCAST 2020, pp. 2020–2023, 2020, doi: 10.1109/MOCAST49295.2020.9200283.
[2]V. Pedemonte, "AI for Sustainability: An overview of AI and the SDGs to contribute to European policy-making," no. February, pp. 1–44, 2020.
[3]R. A. Abdelkhalik and A. A. Elngar, "Costs Management of Research and Development in the Factories of the Future Using Virtual Reality," Proc. 2020 Int. Conf. Adv. Comput. Commun. Eng. ICACCE 2020, 2020, doi: 10.1109/ICACCE49060.2020.9154924.
[4]D. Zhaojie, Z. Chenjie, W. Jiajie, Q. Yifan, and C. Gang, "Garbage classification system based on AI and IoT," 15th Int. Conf. Comput. Sci. Educ. ICCSE 2020, no. Iccse, pp. 349–352, 2020, doi: 10.1109/ICCSE49874.2020.9201690.
[5]R. Vinuesa et al., "The role of artificial intelligence in achieving the Sustainable Development Goals," Nat. Commun., vol. 11, no. 1, pp. 1–10, 2020, doi: 10.1038/s41467-019-14108-y.
[6]S. Rani et al., "Amalgamation of advanced technologies for sustainable development of smart city environment: A review," IEEE Access, vol. 9, pp. 150060–150087, 2021, doi: 10.1109/ACCESS.2021.3125527.
[7]M. A. Albreem, A. M. Sheikh, M. H. Alsharif, M. Jusoh, and M. N. Mohd Yasin, "Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges," IEEE Access, vol. 9, pp. 38833–38858, 2021, doi: 10.1109/ACCESS.2021.3061697.
[8]P. Purswani, "Self-adaptive IoT," in 2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA), 2021, pp. 0–5.
[9]M. S. A. Bin Rosli, I. S. Isa, M. I. F. Maruzuki, S. N. Sulaiman, and I. Ahmad, "Underwater Animal Detection Using YOLOV4," Proc. - 2021 11th IEEE Int. Conf. Control Syst. Comput. Eng. ICCSCE 2021, no. August, pp. 158–163, 2021, doi: 10.1109/ICCSCE52189.2021.9530877.
[10]S. H. Marakkalage et al., "WiFi Fingerprint Clustering for Urban Mobility Analysis," IEEE Access, vol. 9, pp. 69527–69538, 2021, doi: 10.1109/ACCESS.2021.3077583.
[11]H. Tang, H. Wu, Y. Zhao, and R. Li, "Joint Computation Offloading and Resource Allocation Under Task-Overflowed Situations in Mobile-Edge Computing," IEEE Trans. Netw. Serv. Manag., vol. 19, no. 2, pp. 1539–1553, 2022, doi: 10.1109/TNSM.2021.3135389.
[12]P. Cihan, "Artificial Intelligence and Sustainability," in 1st International Conference on Contemporary Academic Research, 2023, pp. 26–33. [Online]. Available: https://as-proceeding.com/index.php/iccar/1sticcar2023
[13]Manish Yadav and Gurjeet Singh, "Environmental Sustainability with Artificial Intelligence," EPRA Int. J. Multidiscip. Res., vol. 9, no. 5, pp. 213–217, 2023, doi: https://doi.org/10.36713/epra13325.
[14]S. E. Bibri, A. Alexandre, A. Sharifi, and J. Krogstie, "Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review," Energy Informatics, vol. 6, no. 1, 2023, doi: 10.1186/s42162-023-00259-2.
[15]G. S. Prakash, Ravi, "Green Internet of Things (G-IOT) for Sustainable Environment," EPRA Int. J. Multidiscip. Res., vol. 9, no. 5, pp. 239–241, 2023, doi: https://doi.org/10.36713/epra13324.
[16]F. A. Almalki et al., "Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities," Mob. Networks Appl., vol. 28, no. 1, pp. 178–202, 2023, doi: https://doi.org/10.1007/s11036-021-01790-w.
[17]T. Miller et al., "Harnessing Ai for Environmental Resilience: Mitigating Heavy Metal Pollution and Advancing Sustainable Practices in Diverse Spheres," Grail Sci., vol. 26, no. 26, pp. 151–156, 2023, doi: 10.36074/grail-of-science.14.04.2023.027.
[18]A. Stecyk and I. Miciuła, "Harnessing the Power of Artificial Intelligence for Collaborative Energy Optimization Platforms," Energies, vol. 16, no. 13, pp. 1–20, 2023, doi: 10.3390/en16135210.
[19]Z. Yan, L. Jiang, X. Huang, L. Zhang, and X. Zhou, "Intelligent urbanism with artificial intelligence in shaping tomorrow’s smart cities: current developments, trends, and future directions," J. Cloud Comput., vol. 12, no. 1, 2023, doi: 10.1186/s13677-023-00569-6.
[20]D. Priya S and S. K G, "Significance of artificial intelligence in the development of sustainable transportation," Sci. Temper, vol. 14, no. 02, pp. 418–425, 2023, doi: 10.58414/scientifictemper.2023.14.2.28.
[21]H. Taherdust, “Towards Artificial Intelligence in Sustainable Environmental Development,” Artif. Intell. Evol., vol. 4, no. 1, pp. 49–54, 2023, doi: 10.37256/aie.4120232503.
[22]H. Taherdust, "Towards Artificial Intelligence in Sustainable Environmental Development," Artif. Intell. Evol., vol. 4, no. 1, pp. 49–54, 2023, doi: 10.37256/aie.4120232503.
[23]M. Sahu, R. Dash, S. K. Mishra, and M. Humayun, "A deep transfer learning model for Green Environment Security Analysis in Smart City," J. King Saud Univ. - Comput. Inf. Sci., vol. 36, no. 1, pp. 1–16, 2024, doi: https://doi.org/10.1016/j.jksuci.2024.101921.
[24]A. Rejeb et al., "Unleashing the power of the internet of things and blockchain: A comprehensive analysis and future directions," Internet Things Cyber-Physical Syst., vol. 4, no. May 2023, pp. 1–18, 2024, doi: 10.1016/j.iotcps.2023.06.003.
[25]S. E. Bibri, J. Krogstie, A. Kaboli, and A. Alahi, “Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review,” Environ. Sci. Ecotechnology, vol. 19, p. 1-31, 2024, doi: 10.1016/j.ese.2023.100330.