Artificial intelligence-based semantic internet of things in a user-centric smart city
Open accessAbstract
Smart city (SC) technologies can provide appropriate services according to citizens’ demands. One of the key enablers in a SC is the Internet of Things (IoT) technology, which enables a massive number of devices to connect with each other. However, these devices usually come from different manufacturers with different product standards, which confront interactive control problems. Moreover, these devices will produce large amounts of data, and efficiently analyzing these data for intelligent services. In this paper, we propose a novel artificial intelligence-based semantic IoT (AI-SIoT) hybrid service architecture to integrate heterogeneous IoT devices to support intelligent services. In particular, the proposed architecture is empowered by semantic and AI technologies, which enable flexible connections among heterogeneous devices. The AI technology can support very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Furthermore, we also present several practical use cases of the proposed AI-SIoT architecture and the opportunities and challenges to implement the proposed AI-SIoT for future SCs are also discussed.
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For AI-powered IoT architecture, research tended to focus mainly on the theoretical aspects of ML and data analysis, cognitive AI, knowledge-based DSS, and knowledge-based AI.
“For AI-powered IoT architecture, research tended to focus mainly on the theoretical aspects of ML and data analysis (e.g., Ref. [[213], [214], [215]]), cognitive AI (e.g., Ref. [216,217]), knowledge-based DSS [218], and knowledge-based AI [174].”
From Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review (2024) · cites this paper as [216]
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- Authors
- Guo, K., Lu, Y., Gao, H., & Cao, R.
- Affiliations
- Beijing University of Posts and Telecommunications (CN)
- Corresponding author
- Lu, Yueming
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2018-04-26
- Volume
- 18
- Issue
- 5
- Pages
- 1341
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC5982249
- OpenAlex
- W2801095731
- Cited by
- 104
- References
- 65
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 9 · 2023: 17 · 2022: 19 · 2021: 13 · 2020: 19 · 2019: 11 · 2018: 1
- FWCI
- 6.81
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Key Research and Development Program (2016YFB0800302)
- Fundamental Research Funds for the Central Universities of China (2482017RC01)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Engineering › Media Technology › Smart Cities and Technologies
- Keywords
- smart cities, heterogeneous IoT devices, device interoperability, smart services, IoT data analytics, user-centered services
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