The University of Southampton
University of Southampton Institutional Repository

Real-time information processing of environmental sensor network data using Bayesian Gaussian processes

Osborne, Michael A., Roberts, Stephen J., Rogers, Alex and Jennings, Nicholas R. (2012) Real-time information processing of environmental sensor network data using Bayesian Gaussian processes ACM Transactions on Sensor Networks, 9, (1), 1:1-1:32. (doi:10.1145/2379799.2379800).

Record type: Article


In this article, we consider the problem faced by a sensor network operator who must infer, in real time, the value of some environmental parameter that is being monitored at discrete points in space and time by a sensor network. We describe a powerful and generic approach built upon an efficient multi-output Gaussian process that facilitates this information acquisition and processing. Our algorithm allows effective inference even with minimal domain knowledge, and we further introduce a formulation of Bayesian Monte Carlo to permit the principled management of the hyperparameters introduced by our flexible models. We demonstrate how our methods can be applied in cases where the data is delayed, intermittently missing, censored, and/or correlated. We validate our approach using data collected from three networks of weather sensors and show that it yields better inference performance than both conventional independent Gaussian processes and the Kalman filter. Finally, we show that our formalism efficiently reuses previous computations by following an online update procedure as new data sequentially arrives, and that this results in a four-fold increase in computational speed in the largest cases considered.

PDF tosn_gp_revised.pdf - Other
Download (1MB)
PDF a1-osborne.pdf - Other
Download (1MB)

More information

Published date: November 2012
Organisations: Agents, Interactions & Complexity


Local EPrints ID: 272749
PURE UUID: f231fd8d-6691-43e0-8950-2048ce3d0e39

Catalogue record

Date deposited: 06 Sep 2011 13:33
Last modified: 18 Jul 2017 06:20

Export record



Author: Michael A. Osborne
Author: Stephen J. Roberts
Author: Alex Rogers
Author: Nicholas R. Jennings

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton:

ePrints Soton supports OAI 2.0 with a base URL of

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.