Cited by 104IoT and Edge/Fog ComputingInternet of Things and AISmart Cities and Technologies

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Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City

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Guo, Kun, Lu, Yueming, Gao, Hui, Cao, Ruohan·2018·Sensors

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Abstract

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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Figure 1 Smart city scenarios.CC BY · PubMed Central

Figure 2 AI-SIoT architecture.CC BY · PubMed Central

Figure 3 Running predicting based on heart rate.CC BY · PubMed Central

Figure 4 The semantic mapping layer for heterogeneous IoT platforms.CC BY · PubMed Central

Figure 5 Semantic model including (a) device model; (b) semantic annotation; (c) knowledge and user model.CC BY · PubMed Central

Figure 6 Semantic analysis process.CC BY · PubMed Central

Figure 7 Processes of basic intelligent services.CC BY · PubMed Central

Figure 8 Processes of semantic associations construction.CC BY · PubMed Central

Figure 9 Prototype system of temperature control.CC BY · PubMed Central

Figure 10 Instance of semantic annotation and reasoning.CC BY · PubMed Central

Figure 11 The construction of user model (a) Independent model (b) Shared model.CC BY · PubMed Central

Figure 12 The indoor temperature variation when cooling.CC BY · PubMed Central

Figure 13 The indoor temperature variation with different IF value.CC BY · PubMed Central

Figure 14 The triggering number of cooling in the four rooms.CC BY · PubMed Central

Figure 15 The total QoE value of different model.CC BY · PubMed Central

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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
ORCID: Guo, Kun
Lu, Yueming
Gao, Hui
Cao, Ruohan
Venue: Sensors
Publisher: MDPI AG
Published: 2018-04-26
Volume: 18
Issue: 5
Pages: 1341
ISSN: 1424-8220 (ISSN-L)
DOI: 10.3390/s18051341
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: cc-by
creativecommons.org/licenses/by/4.0/ (vor)
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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Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City

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