From ambient sensing to IoT-based context computing: An open framework for end to end QoC management

Pierrick Marie; Thierry Desprats; Sophie Chabridon; Michelle Sibilla; Chantal Taconet

doi:10.3390/s150614180

From ambient sensing to IoT-based context computing: An open framework for end to end QoC management

Pierrick Marie, Thierry Desprats, Sophie Chabridon, Michelle Sibilla, Chantal Taconet

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	14180-14206
Number of pages	27
Journal	Sensors (Switzerland)
Volume	15
Issue number	6
DOIs	https://doi.org/10.3390/s150614180
Publication status	Published - 16 Jun 2015
Externally published	Yes

Keywords

Context management
Information model
Meta-modeling
Quality criterion
Quality of Context

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.3390/s150614180

Cite this

@article{a6d6cd139e194765a2a741d1d87c1659,

title = "From ambient sensing to IoT-based context computing: An open framework for end to end QoC management",

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.",

keywords = "Context management, Information model, Meta-modeling, Quality criterion, Quality of Context",

author = "Pierrick Marie and Thierry Desprats and Sophie Chabridon and Michelle Sibilla and Chantal Taconet",

note = "Publisher Copyright: {\textcopyright} 2015 by the authors; licensee MDPI, Basel, Switzerland.",

year = "2015",

month = jun,

day = "16",

doi = "10.3390/s150614180",

language = "English",

volume = "15",

pages = "14180--14206",

journal = "Sensors (Switzerland)",

issn = "1424-8220",

number = "6",

}

TY - JOUR

T1 - From ambient sensing to IoT-based context computing

T2 - An open framework for end to end QoC management

AU - Marie, Pierrick

AU - Desprats, Thierry

AU - Chabridon, Sophie

AU - Sibilla, Michelle

AU - Taconet, Chantal

PY - 2015/6/16

Y1 - 2015/6/16

N2 - 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.

AB - 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.

KW - Context management

KW - Information model

KW - Meta-modeling

KW - Quality criterion

KW - Quality of Context

U2 - 10.3390/s150614180

DO - 10.3390/s150614180

M3 - Article

AN - SCOPUS:84935827845

SN - 1424-8220

VL - 15

SP - 14180

EP - 14206

JO - Sensors (Switzerland)

JF - Sensors (Switzerland)

IS - 6

ER -

From ambient sensing to IoT-based context computing: An open framework for end to end QoC management

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this