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Sensors 2015, 15(6), 14180-14206; doi:10.3390/s150614180

From Ambient Sensing to IoT-based Context Computing: An Open Framework for End to End QoC Management

1
IRIT UMR 5505 Université Paul SABATIER, 31062 Toulouse, France
2
Institut Mines-Télécom, CNRS UMR 5157 SAMOVAR, Télécom SudParis, 91011 Évry, France
This paper is an extended version of our paper published in Marie, P.; Desprats, T.; Chabridon, S.; Sibilla, M. Extending ambient intelligence to the internet of things: New challenges for QoC management. In Proceedings of the 8th International Conference, UCAmI 2014, Belfast, UK, 2–5 December 2014; pp. 224–231.
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Author to whom correspondence should be addressed.
Academic Editor: Jesús Fontecha
Received: 24 April 2015 / Accepted: 8 June 2015 / Published: 16 June 2015
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Abstract

Quality of Context (QoC) awareness is recognized as a key point for the success of context-aware computing. At the time where the combination of the Internet of Things, Cloud Computing, and Ambient Intelligence paradigms offer together new opportunities for managing richer context data, the next generation of Distributed Context Managers (DCM) is facing new challenges concerning QoC management. This paper presents our model-driven QoCIM framework. QoCIM is the acronym for Quality of Context Information Model. We show how it can help application developers to manage the whole QoC life-cycle by providing genericity, openness and uniformity. Its usages are illustrated, both at design time and at runtime, in the case of an urban pollution context- and QoC-aware scenario. View Full-Text
Keywords: Quality of Context; quality criterion; context management; meta-modeling; information model Quality of Context; quality criterion; context management; meta-modeling; information model
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Marie, P.; Desprats, T.; Chabridon, S.; Sibilla, M.; Taconet, C. From Ambient Sensing to IoT-based Context Computing: An Open Framework for End to End QoC Management. Sensors 2015, 15, 14180-14206.

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