Sequential classifier combination for pattern recognition in wireless sensor networks

Authors:
Janos Csirik;Peter Bertholet;Horst Bunke
Affiliations:
Institute of Informatics, University of Szeged, Hungary;Institute of Informatics and Applied Mathematics, University of Bern, Switzerland;Institute of Informatics and Applied Mathematics, University of Bern, Switzerland
Venue:
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Year:
2011

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Abstract

In the current paper we consider the task of object classification in wireless sensor networks. Due to restricted battery capacity, minimizing the energy consumption is a main concern in wireless sensor networks. Assuming that each feature needed for classification is acquired by a sensor, a sequential classifier combination approach is proposed that aims at minimizing the number of features used for classification while maintaining a given correct classification rate. In experiments with data from the UCI repository, the feasibility of this approach is demonstrated.