Research Article
Context analysis approach for context aware applications deployed on pervasive environments
@ARTICLE{10.4108/eai.4-8-2015.150041, author={Nesrine Khabou and Ismael Bouassida Rodriguez and Mohamed Jmaiel}, title={Context analysis approach for context aware applications deployed on pervasive environments}, journal={EAI Endorsed Transactions on Context-aware Systems and Applications}, volume={2}, number={4}, publisher={ICST}, journal_a={CASA}, year={2015}, month={8}, keywords={Pervasive computing, context awareness, adaptation, analysis techniques, threshold calculation, mathematical models}, doi={10.4108/eai.4-8-2015.150041} }
- Nesrine Khabou
Ismael Bouassida Rodriguez
Mohamed Jmaiel
Year: 2015
Context analysis approach for context aware applications deployed on pervasive environments
CASA
ICST
DOI: 10.4108/eai.4-8-2015.150041
Abstract
The increase of mobile and interconnected devices leads to the growth of demands for context aware applications. These applications deployed on top of pervasive environments must adapt themselves to context changes. Context aware applications have to continuously sense their physical environment, and adapt their behavior accordingly. These applications must perform four phases starting by collecting and monitoring context, then analyzing context, deciding adaptation actions and finally executing the planned adaptation actions to deal with the context changes. In this paper, we focus on the second phase.We propose a context analysis approach that relies on different thresholds defined according to the user needs to detect context changes and raise notifications when changes occur. The analysis approach is performed according to three different steps. A context storage step, a context classification step, and a threshold calculation step.
Copyright © 2015 Nesrine Khabou et al., licensed to ICST. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.