Fuzzy and Probabilistic Models of Association Information in Sensor Networks

Authors

Leon Reznik
Vladik Kreinovich, The University of Texas at El PasoFollow

Publication Date

5-2004

Comments

UTEP-CS-04-01a.

Published in: Proceedings of the International IEEE Conference on Fuzzy Systems FUZZ-IEEE'2004, Budapest, Hungary, July 25-29, 2004.

Abstract

The paper considers the problem of improving accuracy and reliability of measurement information acquired by sensor networks. It offers the way of integrating sensor measurement results with association information available or a priori derived at aggregation nodes. The models applied for describing both sensor sensor results and association information are reviewed with consideration given to both neuro-fuzzy and probabilistic models and methods. The information sources, typically available in sensor systems, are classified according to the model (fuzzy or probabilistic), which seems more feasible to be applied. The integration problem is formulated as an optimization problem.