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Cited by 946

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Collective Motion, Sensor Networks, and Ocean Sampling

Open access
Leonard, Naomi Ehrich, Paley, Derek A., Lekien, Francois, Sepulchre, Rodolphe, Fratantoni, David M., Davis, Russ E.·2007·Proceedings of the IEEE
DOI 10.1109/jproc.2006.887295
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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

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Metadata

Authors
Leonard, N. E., Paley, D. A., Lekien, F., Sepulchre, R., Fratantoni, D. M., & Davis, R. E.
Venue
Proceedings of the IEEE
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2007-01
Volume
95
Issue
1
Pages
48-74
ISSN
0018-9219 (ISSN-L)
DOI
10.1109/jproc.2006.887295
OpenAlex
W2025800439
Cited by
946
References
2
FWCI
93.79
Type
journal article
Language
en
Open access
green

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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