Title
A Threshold based Context Change Detection in Pervasive Environments: Application to a Smart Campus.
Abstract
Context awareness is an essential feature of pervasive applications and runtime detection of context changes is necessary for enabling context awareness. Context aware applications are applications that are able to adapt their behavior (self adaptivity property) according to the available resources, environmental conditions, user needs, etc. The self adaptivity property is enforced by four phases. Monitoring/Collecting context parameters, analyzing the collected context parameters to detect changes, planning appropriate adaptation actions and finally executing the planned actions to respond to the changes. In this paper, we focus and discuss the second phase (Analysis phase). Contrary to the most research activities in which the analysis phase is performed by comparing context parameters against fixed thresholds, we propose an analysis approach that uses a threshold comparison technique. Fixed as well as adaptive thresholds are applied to detect changes and trigger notifications that are used to deal with the changes.
Year
DOI
Venue
2014
10.1016/j.procs.2014.05.448
Procedia Computer Science
Keywords
Field
DocType
Ubiquitous computing,context awareness,adaptation,context analysis techniques
Change detection,Computer science,Real-time computing,Context awareness,Self,Human–computer interaction,Artificial intelligence,Ubiquitous computing,Smart campus,Self adaptivity,Machine learning
Conference
Volume
ISSN
Citations 
32
1877-0509
6
PageRank 
References 
Authors
0.67
10
4
Name
Order
Citations
PageRank
Nesrine Khabou1204.88
Ismael Bouassida Rodriguez26122.58
Ghada Gharbi360.67
Mohamed Jmaiel4668110.41