Toward Global IoT-Enabled Smart Cities Interworking Using Adaptive Semantic Adapter
| Autor: | Franck Le Gall, Jaeho Kim, JaeSeung Song, Martin Bauer, JongGwan An, Mengxuan Zhao, Jaeseok Yun, Jaeyoung Hwang |
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| Rok vydání: | 2019 |
| Předmět: |
Computer Networks and Communications
Computer science Adapter (computing) business.industry Distributed computing Interoperability 020206 networking & telecommunications 02 engineering and technology Semantic interoperability Semantic data model Computer Science Applications Hardware and Architecture Smart city 11. Sustainability Signal Processing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Architecture Internet of Things business Information Systems |
| Zdroj: | IEEE Internet of Things Journal. 6:5753-5765 |
| ISSN: | 2372-2541 |
| DOI: | 10.1109/jiot.2019.2905275 |
| Popis: | Since the Internet-of-Things (IoT) has been introduced, it is considered as one of the emerging technologies providing great opportunities to many vertical industries. One of the major IoT application areas that gets significant attention is smart city. Since it is unrealistic to expect full convergence toward a single IoT platform in the near future, it is mandatory to enable interworking between different platforms based on multiple standards, coexisting in the emerging smart cities. In this paper, we take the example of two global IoT standards, FIWARE and oneM2M, which are actively used in many smart city projects, and analyze them to show the feasibility of IoT platforms interworking. Based on the analysis, we design and implement a novel IoT interworking architecture providing a semantic driven integration framework suitable for smart city. The core idea behind our approach is to introduce interworking proxies that: 1) conduct a static mapping of sensor information between IoT platforms and 2) perform semantic interoperability using semantically annotated resources via a semantic interworking proxy that dynamically discovers new kinds of information and adapts itself to enable automatic translation of semantic data between given source and target IoT platforms while it is running. We present the system based on these proxies and evaluate it in Santander smart city. The results demonstrate that it is able to discover and manage IoT sensors connected to both oneM2M and FIWARE. It appears that the semantic approach provides the flexibility and dynamic adaptivity needed for fast growing and rapidly changing urban environments. |
| Databáze: | OpenAIRE |
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