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Sensors 2012, 12(2), 1930-1949;

Sunlight Intensity Based Global Positioning System for Near-Surface Underwater Sensors

Department of Systems and Automation, Carlos III University of Madrid, Avda. de la Universidad 30, 28911 Leganés, Madrid, Spain
Institute of Information Technology, Faculty of Technology, Art and Design, Oslo and Akershus University College of Applied Sciences, P.O. Box 4, St. Olavs plass, N-0130 Oslo, Norway
Department of Computer Science, Rey Juan Carlos University of Madrid, Calle Tulipán s/n, 28933 Móstoles, Madrid, Spain
Author to whom correspondence should be addressed.
Received: 15 December 2011 / Revised: 1 February 2012 / Accepted: 7 February 2012 / Published: 10 February 2012
(This article belongs to the Special Issue Underwater Sensor Nodes and Underwater Sensor Networks)
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Water monitoring is important in domains including documenting climate change, weather prediction and fishing. This paper presents a simple and energy efficient localization strategy for near surface buoy based sensors. Sensors can be dropped randomly in the ocean and thus self-calibrate in terms of geographic location such that geo-tagged observations of water quality can be made without the need for costly and energy consuming GPS-hardware. The strategy is based on nodes with an accurate clock and light sensors that can regularly sample the level of light intensity. The measurements are fitted into a celestial model of the earth motion around the sun. By identifying the trajectory of the sun across the skies one can accurately determine sunrise and sunset times, and thus extract the longitude and latitude of the sensor. Unlike previous localization techniques for underwater sensors, the current approach does not rely on stationary or mobile reference points. View Full-Text
Keywords: outdoor; localization; light; intensity; global positioning; sunlight; underwater outdoor; localization; light; intensity; global positioning; sunlight; underwater
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Gómez, J.V.; Sandnes, F.E.; Fernández, B. Sunlight Intensity Based Global Positioning System for Near-Surface Underwater Sensors. Sensors 2012, 12, 1930-1949.

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