A user-centric intelligent context-aware system for realizing internet-of-things environments
| Autor: | Kwanhee Kim, Jaehwan Lee, Sang Oh Park, Kim Kyoungchan |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry Control (management) Context (language use) Theoretical Computer Science Hardware and Architecture Software deployment Human–computer interaction State (computer science) Internet of Things business Software Dynamic mesh Information Systems Abstraction (linguistics) User-centered design |
| Zdroj: | The Journal of Supercomputing. 77:10804-10826 |
| ISSN: | 1573-0484 0920-8542 |
| DOI: | 10.1007/s11227-021-03722-7 |
| Popis: | In the near future, an Internet-of-things (IoT) environment will be realized across ubiquitous terminals such as computers and smartphones, supporting connections between people and machines. IoT platforms facilitate the deployment of various services to users; however, the information provided by these platforms is focused on the present state of things and environments. To realize a true IoT environment, there is a need for user-centric and seamless context-aware services as well as IoT control services based on environmental feedback. In this paper, we propose a dynamic mesh network configuration method to analyze real-time user context and provide seamless services, as well as a user context-aware abstraction mechanism. To evaluate the performance of the proposed system, we simulate a parking system, and then compare the performance to the best effort method, finding that performance was significantly improved. Thus, we expect that seamless context-aware services will become possible through the application of such methods. |
| Databáze: | OpenAIRE |
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