Pattern recognition in wireless sensor networks in presence of sensor failures

Authors:
Janos Csirik;Peter Bertholet;Horst Bunke
Affiliations:
University of Szeged, Department of Computer Science, Szeged, Hungary;University of Bern, Institute of Applied Mathematics and Informatics, Bern, Switzerland;University of Bern, Institute of Applied Mathematics and Informatics, Bern, Switzerland
Venue:
NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
Year:
2011

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Abstract

In the current paper we consider the task of object classification in wireless sensor networks. Assuming that each feature needed for classification is acquired by a sensor, a new approach is proposed that aims at minimizing the number of features used for classification while maintaining a given correct classification rate. In particular, we address the case where a sensor may have a failure before its battery is exhausted. In experiments with data from the UCI repository, the feasibility of this approach is demonstrated.