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 accessAbstract
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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Cites
Atmospheric Modeling, Data Assimilation and Predictability
Kalnay, E. (2002) · doi:10.1017/cbo9780511802270 · Cited by 3,391
Vicsek, T., & Zafeiris, A. (2012) · Physics Reports · doi:10.1016/j.physrep.2012.03.004 · Cited by 2,923
Cited by
Cohen, J. D., McClure, S. M., & Yu, A. J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2098 · Cited by 1,121
Closed-Loop Turbulence Control: Progress and Challenges
Brunton, S. L., & Noack, B. R. (2015) · Applied Mechanics Reviews · doi:10.1115/1.4031175 · Cited by 623
(2018) · IEEE Control Systems · doi:10.1109/mcs.2018.2810460 · Cited by 518
A survey of practical issues in underwater networks
Partan, J., Kurose, J., & Levine, B. N. (2007) · ACM SIGMOBILE Mobile Computing and Communications Review · doi:10.1145/1347364.1347372 · Cited by 414
Cooperative Localization for Autonomous Underwater Vehicles
Bahr, A., Leonard, J. J., & Fallon, M. F. (2009) · The International Journal of Robotics Research · doi:10.1177/0278364908100561 · Cited by 363
Metadata
- Authors
- Leonard, N. E., Paley, D. A., Lekien, F., Sepulchre, R., Fratantoni, D. M., & Davis, R. E.
- Venue
- Proceedings of the IEEE
- Published
- 2007-01
- Volume
- 95
- Issue
- 1
- Pages
- 48-74
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2025800439
- Cited by
- 946
- References
- 2
- FWCI
- 93.79
- Type
- journal article
- Language
- en
- Open access
- green
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- Leonard, N. E., Paley, D. A., Lekien, F., Sepulchre, R., Fratantoni, D. M., & Davis, R. E. (2007). Collective Motion, Sensor Networks, and Ocean Sampling. Proceedings of the IEEE. https://doi.org/10.1109/jproc.2006.887295
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
