Skip to main navigation Skip to search Skip to main content

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

  • Universite Paul Sabatier
  • CNRS SAMOVAR UMR 5157

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

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 languageEnglish
Pages (from-to)14180-14206
Number of pages27
JournalSensors (Switzerland)
Volume15
Issue number6
DOIs
Publication statusPublished - 16 Jun 2015
Externally publishedYes

UN SDGs

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

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

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

Fingerprint

Dive into the research topics of 'From ambient sensing to IoT-based context computing: An open framework for end to end QoC management'. Together they form a unique fingerprint.

Cite this