Title :
A fine-grain approach for evaluating the quality of context
Author :
Abid, Zied ; Chabridon, Sophie
Author_Institution :
Inst. TELECOM, TELECOM SudParis, Évry, France
Abstract :
Context-aware applications are becoming commonplace in everyday life thanks to recent advances in mobile devices, sensor capabilities and wireless communication networks. However, making the manipulation of context information efficient is still an important issue. Taking into account the quality of context data becomes a corner stone of an efficient context management. In this paper, we argue for a fine-grain QoC reasoning. We build on existing application examples and implement one of them with the COSMOS framework. Our approach allows for a better control of the behavior of pervasive applications.
Keywords :
data handling; inference mechanisms; ubiquitous computing; COSMOS framework; context data quality; context information; context management; context-aware application; fine-grain QoC reasoning; fine-grain approach; pervasive application; quality of context; Accuracy; Cognition; Context; Context modeling; Temperature measurement; Temperature sensors; Unified modeling language; Context management; QoC reasoning; Quality of context;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-61284-938-6
Electronic_ISBN :
978-1-61284-936-2
DOI :
10.1109/PERCOMW.2011.5766930
