D2.2 Uncertainty-aware sensor fusion in sensor networks
- Uncertainty assignment for measurement values is a common process for single sensors, but this procedure grows in complexity for sensor networks. Often measured values are processed further in such networks and uncertainty must be evaluated for virtual values. A simple example is the fusion of homogeneous values and faulty or drifting sensors can harm the virtual value. We introduce a method from the field of key-comparison into the domain of sensor fusion. The method is evaluated in three different scenarios within an agent-framework.
| Author: | M. Gruber, S. Eichstädt, Wenzel Baron Pilar von PilchauORCiDGND, Jörg HähnerORCiDGND, V. Gowtham, A. Willner, N. Koutrakis, J. Polte, M. Riedl |
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| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/89793 |
| ISBN: | 978-3-9819376-4-0OPAC |
| Parent Title (English): | SMSI 2021 - Measurement Science |
| Publisher: | AMA Service |
| Place of publication: | Wunstorf |
| Editor: | Gerald Gerlach, Klaus-Dieter Sommer |
| Type: | Part of a Book |
| Language: | English |
| Year of first Publication: | 2021 |
| Release Date: | 2021/10/07 |
| First Page: | 246 |
| Last Page: | 247 |
| DOI: | https://doi.org/10.5162/smsi2021/d2.2 |
| Institutes: | Fakultät für Angewandte Informatik |
| Fakultät für Angewandte Informatik / Institut für Informatik | |
| Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Organic Computing | |
| Dewey Decimal Classification: | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
