The computer for the 21st century
Human-computer interaction
Understanding and Using Context
Personal and Ubiquitous Computing
Context-Aware Resource Management in Multi-Inhabitant Smart Homes: A Nash H-Learning based Approach
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
Everyware: The Dawning Age of Ubiquitous Computing
Everyware: The Dawning Age of Ubiquitous Computing
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
Mixed-initiative conflict resolution for context-aware applications
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
CARISMA: Context-Aware Reflective mIddleware System for Mobile Applications
IEEE Transactions on Software Engineering
Modeling energy efficiency in wireless internet communication
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
Follow-Us: a distributed ubiquitous healthcare system simulated by mannasim
ICCSA'12 Proceedings of the 12th international conference on Computational Science and Its Applications - Volume Part IV
Hi-index | 0.00 |
Ubiquitous systems are generally embedded into the environment and provide their services all the time and everywhere. In order to increase transparency and personalization, ubiquitous applications are normally context-aware, i.e., they use information about entities of interest to adapt their services. Since they are connected to everyday elements, such systems are frequently shared by two or more users, who may provide conflicting contextual data. Therefore, these systems can reach an inconsistent state, in which they are unable to decide how to perform their intended adaptations. This work proposes a novel methodology that detects and solves conflicts of interest for ubiquitous context-aware applications with different characteristics. Besides, the developed approach considers the trade-off between users' satisfaction and resources consumption in order to select and apply a conflict resolution algorithm. Results obtained through simulations showed that the proposed solution is flexible, dynamic, and able to provide users' satisfaction as well as to save system resources.