A fine-grain approach for evaluating the quality of context

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011
PublisherIEEE Computer Society
Pages444-449
Number of pages6
ISBN (Print)9781612849379
DOIs
Publication statusPublished - 1 Jan 2011
Event9th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011 - Seattle, WA, United States
Duration: 21 Mar 201125 Mar 2011

Publication series

Name2011 IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011

Conference

Conference9th IEEE International Conference on Pervasive Computing and Communications Workshops, PERCOM Workshops 2011
Country/TerritoryUnited States
CitySeattle, WA
Period21/03/1125/03/11

Keywords

  • Context management
  • QoC reasoning
  • Quality of context

Fingerprint

Dive into the research topics of 'A fine-grain approach for evaluating the quality of context'. Together they form a unique fingerprint.

Cite this