A fine-grain approach for evaluating the quality of context

Author

Abid, Zied ; Chabridon, Sophie

Author_Institution

Inst. TELECOM, TELECOM SudParis, Évry, France

fYear

2011

fDate

21-25 March 2011

Firstpage

444

Lastpage

449

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/PERCOMW.2011.5766930

Filename

5766930