The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey
Open accessAbstract
Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency-related issues, its deployment engenders new challenges. In this article, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing-enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.
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Cites
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Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
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A Survey on Mobile Edge Computing: The Communication Perspective
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The case for vm-based cloudlets in mobile computing
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“However, [24], [36]–[43], and [46] reviewed either edge computing alone or edge computing with IoT.”
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
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Self-citationMachine learning driven smart electric power systems: Current trends and new perspectives
Ibrahim, M. S., Dong, W., & Yang, Q. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115237 · Cited by 435
6G Wireless Systems: A Vision, Architectural Elements, and Future Directions
Khan, L. U., Yaqoob, I., Imran, M., Han, Z., & Hong, C. S. (2020) · IEEE Access · doi:10.1109/access.2020.3015289 · Cited by 384
Self-citationWu, Y., Dai, H.-N., & Wang, H. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3025916 · Cited by 323
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Khan, L. U., Han, Z., Saad, W., Hossain, E., Guizani, M., & Hong, C. S. (2022) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2022.3198273 · Cited by 322
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Metadata
- Authors
- Khan, L. U., Yaqoob, I., Tran, N. H., Kazmi, S. M. A., Dang, T. N., & Hong, C. S.
- Venue
- IEEE Internet of Things Journal
- Published
- 2020-10
- Volume
- 7
- Issue
- 10
- Pages
- 10200-10232
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2974577288
- Cited by
- 475
- References
- 25
- FWCI
- 29.11
- Type
- journal article
- Language
- en
- Open access
- green
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