The DOI matches its Crossref record; 65 of the 65 references it cites were found in a registry or an index.
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 (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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Mastering the game of Go with deep neural networks and tree search
Silver, D., Huang, A., Maddison, C. J., Guez, A., Sifre, L., van den Driessche, G., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., et al. (2016) · Nature · doi:10.1038/nature16961 · Cited by 15,612
Wearable Sensors for Remote Health Monitoring
Majumder, S., Mondal, T., & Deen, M. (2017) · Sensors · doi:10.3390/s17010130 · Cited by 1,375
Sensing as a service model for smart cities supported by Internet of Things
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A Review of Smart Cities Based on the Internet of Things Concept
Talari, S., Shafie‐khah, M., Siano, P., Loia, V., Tommasetti, A., & Catalào, J. P. S. (2017) · Energies · doi:10.3390/en10040421 · Cited by 621
RFID Technology for IoT-Based Personal Healthcare in Smart Spaces
Amendola, S., Lodato, R., Manzari, S., Occhiuzzi, C., & Marrocco, G. (2014) · IEEE Internet of Things Journal · doi:10.1109/jiot.2014.2313981 · Cited by 617
Semisupervised Deep Reinforcement Learning in Support of IoT and Smart City Services
Mohammadi, M., Al‐Fuqaha, A., Guizani, M., & Oh, J.-S. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2712560 · Cited by 441
From participatory sensing to Mobile Crowd Sensing
Guo, B., Yu, Z., Zhou, X., & Zhang, D. (2014) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2014.6815273 · Cited by 406
Major requirements for building Smart Homes in Smart Cities based on Internet of Things technologies
Hui, T., Sherratt, R. S., & Díaz-Sánchez, D. (2016) · Future Generation Computer Systems · doi:10.1016/j.future.2016.10.026 · Cited by 347
Comprehensive Approaches to User Acceptance of Internet of Things in a Smart Home Environment
Park, E., Cho, Y., Han, J., & Kwon, S. J. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2750765 · Cited by 263
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Sharma, D. P., Lashkari, A. H., Firoozjaei, M. D., Mahdavifar, S., & Xiong, P. (2025) · Progress in IS · doi:10.1007/978-3-031-91524-6_7
A Data-Focused Digital Transformation for Smart Net-Zero Cities, a Systems Thinking Approach
Jouzdani, F. M., Javidroozi, V., García, M. M., & Shah, H. (2025) · Lecture notes on data engineering and communications technologies · doi:10.1007/978-3-031-91351-8_17
AI-Powered Management of Social and Labor Relations in the Smart Cities Economy
Ergunova, O., Dudnikov, T., Somov, A., & Иващенко, А. (2026) · International Siberian workshops and tutorials on electron devices and materials · doi:10.1109/edm69524.2026.11632092
Blockchain-Enabled Trust Management for Communication-Efficient IoT Offloading in Smart Cities
Alhasson, B. (2026) · Electronics · doi:10.3390/electronics15173948
Metadata
- 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
- Social Sciences › Urban Studies › Smart Cities and Technologies
- Keywords
- smart cities, heterogeneous IoT devices, device interoperability, smart services, IoT data analytics, user-centered services
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