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Bayesian prediction and adaptive sampling algorithms for mobile sensor networks: online environmental field reconstruction in space and time
This brief introduces a class of problems and models for the prediction of the scalar field of interest from noisy observations collected by mobile sensor networks. It also introduces the problem of optimal coordination of robotic sensors to maximize the prediction quality subject to communication a...
| Autores principales: | , , , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2016
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-21921-9 http://cds.cern.ch/record/2112691 |