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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...

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Main Authors: Xu, Yunfei. (Author, http://id.loc.gov/vocabulary/relators/aut), Choi, Jongeun. (http://id.loc.gov/vocabulary/relators/aut), Dass, Sarat. (http://id.loc.gov/vocabulary/relators/aut), Maiti, Tapabrata. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:SpringerBriefs in Control, Automation and Robotics,
Subjects:
Control engineering.
Robotics.
Mechatronics.
Statistics .
Artificial intelligence.
Signal processing.
Image processing.
Speech processing systems.
Electrical engineering.
Control, Robotics, Mechatronics.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Artificial Intelligence.
Signal, Image and Speech Processing.
Communications Engineering, Networks.
Online Access:https://doi.org/10.1007/978-3-319-21921-9

Internet

https://doi.org/10.1007/978-3-319-21921-9

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