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Erschienen in: The Journal of Supercomputing 10/2021

12.03.2021

A user-centric intelligent context-aware system for realizing internet-of-things environments

verfasst von: Kwanhee Kim, Jaehwan Lee, Kyoungchan Kim, Sangoh Park

Erschienen in: The Journal of Supercomputing | Ausgabe 10/2021

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Abstract

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.

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Metadaten
Titel
A user-centric intelligent context-aware system for realizing internet-of-things environments
verfasst von
Kwanhee Kim
Jaehwan Lee
Kyoungchan Kim
Sangoh Park
Publikationsdatum
12.03.2021
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 10/2021
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-021-03722-7

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