Bayesian Prediction and Adaptive Sampling Algorithms for Mobile Sensor Networks: Online Environmental Field Reconstruction in Space and Time

by Tapabrata Maiti, Jongeun Choi, Choi Jongeun, et al.

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 and mobility constraints either in a centralized or distributed manner. To solve such problems, fully Bayesian approaches are adopted, allowing various...

• Format: Paperback
• Language: English
• ISBN: 3319219200
• ISBN13: 9783319219202
• Release Date: November 2015
• Publisher: Springer
• Length: 115 Pages