Proceedings of the IEEE, 2007-01, Vol.95 (1), p.48-74
2007
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- Autor(en) / Beteiligte
- Titel
- Collective Motion, Sensor Networks, and Ocean Sampling
- Ist Teil von
- Proceedings of the IEEE, 2007-01, Vol.95 (1), p.48-74
- Ort / Verlag
- New York: IEEE
- Erscheinungsjahr
- 2007
- Quelle
- IEEE Xplore
- Beschreibungen/Notizen
- 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
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0018-9219, 1558-2256eISSN: 1558-2256DOI: 10.1109/JPROC.2006.887295Titel-ID: cdi_ieee_primary_4118466
- Format
- –
- Schlagworte
- Adaptive sampling, autonomous underwater vehicles, Biosensors, cooperative control, coordinated dynamics, Cost function, Electrical & electronics engineering, Engineering, computing & technology, Ingénierie électrique & électronique, Ingénierie, informatique & technologie, Laws, Mathematical models, Mobile robots, mobile sensor networks, Networks, ocean sampling, Oceans, Optimization, Remotely operated vehicles, Sampling, Sampling methods, Sea measurements, Sensor arrays, Sensors, Steady flow, Temperature measurement, underwater gliders, Vehicle dynamics