Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-04-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/5/1341 |
| _version_ | 1818015277923696640 |
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| author | Kun Guo Yueming Lu Hui Gao Ruohan Cao |
| author_facet | Kun Guo Yueming Lu Hui Gao Ruohan Cao |
| author_sort | Kun Guo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-14T06:54:52Z |
| format | Article |
| id | doaj.art-04d81467a0b449aa828205612b147267 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T06:54:52Z |
| publishDate | 2018-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-04d81467a0b449aa828205612b1472672022-12-22T02:06:55ZengMDPI AGSensors1424-82202018-04-01185134110.3390/s18051341s18051341Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart CityKun Guo0Yueming Lu1Hui Gao2Ruohan Cao3Key Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaKey Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaKey Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaKey Laboratory of Trustworthy Distributed Computing and Service, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, ChinaSmart 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.http://www.mdpi.com/1424-8220/18/5/1341Internet of Thingssmart citysmart homeartificial intelligencesemantic modeling |
| spellingShingle | Kun Guo Yueming Lu Hui Gao Ruohan Cao Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City Sensors Internet of Things smart city smart home artificial intelligence semantic modeling |
| title | Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City |
| title_full | Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City |
| title_fullStr | Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City |
| title_full_unstemmed | Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City |
| title_short | Artificial Intelligence-Based Semantic Internet of Things in a User-Centric Smart City |
| title_sort | artificial intelligence based semantic internet of things in a user centric smart city |
| topic | Internet of Things smart city smart home artificial intelligence semantic modeling |
| url | http://www.mdpi.com/1424-8220/18/5/1341 |
| work_keys_str_mv | AT kunguo artificialintelligencebasedsemanticinternetofthingsinausercentricsmartcity AT yueminglu artificialintelligencebasedsemanticinternetofthingsinausercentricsmartcity AT huigao artificialintelligencebasedsemanticinternetofthingsinausercentricsmartcity AT ruohancao artificialintelligencebasedsemanticinternetofthingsinausercentricsmartcity |