The DOI matches its Crossref record; 216 of the 216 references it cites were found in a registry or an index.
Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities
Open accessAbstract
The development of the Internet of Things (IoT) technology and their integration in smart cities have changed the way we work and live, and enriched our society. However, IoT technologies present several challenges such as increases in energy consumption, and produces toxic pollution as well as E-waste in smart cities. Smart city applications must be environmentally-friendly, hence require a move towards green IoT. Green IoT leads to an eco-friendly environment, which is more sustainable for smart cities. Therefore, it is essential to address the techniques and strategies for reducing pollution hazards, traffic waste, resource usage, energy consumption, providing public safety, life quality, and sustaining the environment and cost management. This survey focuses on providing a comprehensive review of the techniques and strategies for making cities smarter, sustainable, and eco-friendly. Furthermore, the survey focuses on IoT and its capabilities to merge into aspects of potential to address the needs of smart cities. Finally, we discuss challenges and opportunities for future research in smart city applications.
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“Indeed, smart cities and sustainable cities have recently started to integrate a wide variety of these data-driven technologies and green technologies and support those technological and environmental innovations capable of enabling and delivering environmentally sustainable urban development (Almalki et al. 2021; Gourisaria et al. 2023; Makani et al. 2022; Saravanan and Sakthinathan 2021).”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Almalki et al. 2021
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“data-driven smart urbanism is increasingly providing a plethora of applied innovative solutions to deal with the environmental pathologies pertaining to energy consumption, pollution, traffic congestion, mobility ineffectiveness, hazardous waste, unsustainable material, resource depletion, biodiversity loss, and climate change crisis.”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Almalki et al. 2021
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“AI involves establishing heavy energy dependency and increasing carbon footprints (Dauvergne 2021) as a result of the externalities of its development, use, application, and disposal (e.g., (Almalki et al. 2021; Kaplan and Haenlein 2019; Leal Filho et al. 2022).”
From Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review (2023) · cites this paper as Almalki et al. 2021
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Citations
Cites
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Cited by
Sorted by citations
Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100330 · Cited by 536
Bibri, S. E., Alexandre, A., Sharifi, A., & Krogstie, J. (2023) · Energy Informatics · doi:10.1186/s42162-023-00259-2 · Cited by 299
Drones’ Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy
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Metadata
- Authors
- Almalki, F. A., Alsamhi, S. H., Sahal, R., Hassan, J., Hawbani, A., Rajput, N. S., Saif, A., Morgan, J., & Breslin, J.
- Affiliations
- Taif University (SA)
- Athlone Institute of Technology (IE)
- University College Cork (IE)
- Central Queensland University (AU)
- University of Science and Technology of China (CN)
- Indian Institute of Technology BHU (IN)
- University of Malaya (MY)
- Ollscoil na Gaillimhe – University of Galway (IE)
- Corresponding author
- Alsamhi, S. H.
- ORCID
- Venue
- Mobile Networks and Applications
- Published
- 2021-08-17
- Volume
- 28
- Issue
- 1
- Pages
- 178-202
- ISSN
- 1383-469X (ISSN-L)
- 1572-8153
- OpenAlex
- W3194146037
- Cited by
- 376
- References
- 216
- Citations by year
- 2026: 55 · 2025: 108 · 2024: 104 · 2023: 58 · 2022: 42 · 2021: 9
- FWCI
- 23.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Mobile Networks and Applications (publishedVersion, cc-by)
- Research@THEA (submittedVersion, cc-by-nc-nd)
- Figshare (submittedVersion, cc-by)
- Funders
- Science Foundation Ireland (SFI/16/RC/3918, 847577, 16/RC/3918)
- Taif University (TURSP-2020/265, TURSP-2020, SFI/16/RC/3918)
- European Regional Development Fund (SFI/16/RC/3918, 847 577, 16/RC/3918)
- Topics
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Keywords
- green Internet of Things, smart cities, sustainability, energy consumption, electronic waste, pollution reduction, resource management, public safety, quality of life
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