CUED Publications database

Collective motion, sensor networks, and ocean sampling

Leonard, NE and Paley, DA and Lekien, F and Sepulchre, R and Fratantoni, DM and Davis, RE (2007) Collective motion, sensor networks, and ocean sampling. Proceedings of the IEEE, 95. pp. 48-74. ISSN 0018-9219

Full text not available from this repository.

Abstract

This paper addresses the design of mobile sensor networks for optimal data collection. The development is strongly motivated by the application to adaptive ocean sampling for an autonomous ocean observing and prediction system. A performance metric, used to derive optimal paths for the network of mobile sensors, defines the optimal data set as one which minimizes error in a model estimate of the sampled field. Feedback control laws are presented that stably coordinate sensors on structured tracks that have been optimized over a minimal set of parameters. Optimal, closed-loop solutions are computed in a number of low-dimensional cases to illustrate the methodology. Robustness of the performance to the influence of a steady flow field on relatively slow-moving mobile sensors is also explored © 2006 IEEE.

Item Type: Article
Uncontrolled Keywords: Adaptive sampling Autonomous underwater vehicles Cooperative control Coordinated dynamics Mobile sensor networks Ocean sampling Underwater gliders
Subjects: UNSPECIFIED
Divisions: Div F > Control
Depositing User: Cron Job
Date Deposited: 07 Mar 2014 11:25
Last Modified: 19 Dec 2014 19:01
DOI: 10.1109/JPROC.2006.887295