Title :
A quality-aware approach for selecting context information from redundant context sources
Author :
Filho, José Bringel ; Agoulmine, Nazim
Author_Institution :
LRSM-IBISC, Univ. of Evry Val d´´Essonne, Evry Courcouronnes, France
Abstract :
Sensor-rich ubiquitous computing systems could face many inconsistent decisions while selecting context data from redundant sources to compose the context, since low-quality sensor data can be selected to accordingly adapt the environment and services based on context changes. These systems need mechanisms to verify the quality of collected sensor data in order to select reliable context information and reduce the probability of making erroneous context-dependent decisions. Quality of Context (QoC) indicators linked to collected context data can be used to deal with this challenge, offering means to improve the decision-making support of context management frameworks. This paper presents a quality-aware approach for selecting reliable context data from redundant context sources based on the QoC indicator probability of correctness. The proposed approach was embedded in the decision-making support of the context fusion layer of our Context Management Framework (CxtMF), which was developed to provide QoC-enriched context information for ubiquitous healthcare systems.
Keywords :
decision making; health care; medical computing; ubiquitous computing; QoC indicator correctness probability; context fusion layer; context information selection; context management frameworks; decision-making support; quality of context indicators; quality-aware approach; redundant context sources; sensor-rich ubiquitous computing systems; ubiquitous healthcare systems; Context; Current measurement; Decision making; Ontologies; Pervasive computing; Reliability; Temperature sensors;
Conference_Titel :
Network Operations and Management Symposium (LANOMS), 2011 7th Latin American
Conference_Location :
Quito
Print_ISBN :
978-1-4577-1790-1
DOI :
10.1109/LANOMS.2011.6102264