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Erschienen in: The Journal of Supercomputing 1/2016

01.01.2016

Adaptive Internet of Things and Web of Things convergence platform for Internet of reality services

verfasst von: Jaehak Yu, Hyo-Chan Bang, Hosung Lee, Yang Sun Lee

Erschienen in: The Journal of Supercomputing | Ausgabe 1/2016

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Abstract

Recently, Internet of things (IoT) and Web of Things (WoT) lead us to the excellent era of connected everything device. However, the devices hardly show the property of the autonomous connectivity and the self-cooperation for applying in real-world environments. The purpose of this paper was to propose the adaptive IoT and WoT convergence platform that enables things to dynamically implement the smart Web without any controls from users. The adaptive IoT and WoT convergence platform, proposed in this paper, is a new type of platform which provides global inter-compatibility to help users to easily communicate with things by connecting through the webs. Through mashup of the things connected to the Web, coarsely or finely, this proposal can guarantee an efficient IoT or WoT platform management, adaptive synchronization between the things, a stable platform environment, and creating new services. The performance of our proposed platform is tested via experiments which verify that its simulations are satisfactory.

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Metadaten
Titel
Adaptive Internet of Things and Web of Things convergence platform for Internet of reality services
verfasst von
Jaehak Yu
Hyo-Chan Bang
Hosung Lee
Yang Sun Lee
Publikationsdatum
01.01.2016
Verlag
Springer US
Erschienen in
The Journal of Supercomputing / Ausgabe 1/2016
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI
https://doi.org/10.1007/s11227-015-1489-6

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