Optimizing pervasive sensor data acquisition utilizing missing values substitution

Michalopoulos, M., Anagnostopoulos, C. , Doukas, C., Maglogiannis, I. and Hadjiefthymiades, S. (2010) Optimizing pervasive sensor data acquisition utilizing missing values substitution. In: Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments - PETRA '10, Samos, Greece, 10-15 June 2010. ACM: New York, NY, USA, p. 1. ISBN 9781450300711 (doi: 10.1145/1839294.1839308)

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Publisher's URL: http://dx.doi.org/10.1145/1839294.1839308


Acquisition of pervasive sensor data can be often unsuccessful due to power outage at nodes, time synchronization issues, interference, network transmission failures or sensor hardware issues. Such failures can lead to inadequate data delivery to the monitoring applications resulting in erroneous conclusions. This paper presents a missing values substitution framework that addresses the aforementioned issue. The presented framework has been evaluated within a pervasive sensor monitoring environment that collects and transmits patient health related data and results have been presented.

Item Type:Book Sections
Glasgow Author(s) Enlighten ID:Anagnostopoulos, Dr Christos
Authors: Michalopoulos, M., Anagnostopoulos, C., Doukas, C., Maglogiannis, I., and Hadjiefthymiades, S.
College/School:College of Science and Engineering > School of Computing Science

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