Multistep Predictions for Adaptive Sampling in Mobile Robotic Sensor Networks Using Proximal ADMM

Multistep Predictions for Adaptive Sampling in Mobile Robotic Sensor Networks Using Proximal ADMM

This paper presents a novel approach, using multi-step predictions, to the adaptive sampling problem for efficient monitoring of environmental spatial phenomena in a mobile sensor network. We employ a Gaussian process to represent the spatial field of interest, which is then used to predict the fiel...

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Bibliographic Details
Main Authors: Viet-Anh Le, Linh Nguyen, Truong X. Nghiem
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Adaptive sampling
Gaussian processes
mobile robotic sensor networks
multistep prediction
proximal ADMM
Online Access:https://ieeexplore.ieee.org/document/9797705/

Internet

https://ieeexplore.ieee.org/document/9797705/

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