Context fusion: dealing with sensor reliability

Anagnostopoulos, C., Sekkas, O. and Hadjiefthymiades, S. (2007) Context fusion: dealing with sensor reliability. In: IEEE International Conference on Mobile Adhoc and Sensor Systems, Pisa, Italy, 8-11 Oct 2007, pp. 1-6. (doi:10.1109/MOBHOC.2007.4428752)

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Publisher's URL: http://dx.doi.org/10.1109/MOBHOC.2007.4428752

Abstract

Context-aware applications sense, combine and reason about contextual information in order to determine and adapt to the current user's context. A very important problem associated with context is the inherent ambiguity and inaccuracy. Contextual information is typically pervaded with imperfect sensing (e.g., noise of sensor readings). A novel context fusion model that represents, determines and reasons about context based on the reliability on sensor readings is proposed. This model adopts dynamic Bayesian networks and fuzzy-set theory in order to deal with the reliability of contextual data at the context inference phase.

Item Type:Conference Proceedings
Additional Information:ISBN 9781424414543
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos
Authors: Anagnostopoulos, C., Sekkas, O., and Hadjiefthymiades, S.
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
College/School:College of Science and Engineering > School of Computing Science

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