Wave Monitoring with Wireless Sensor Networks

Mihai Marin Perianu; Supriyo Chatterjea; Raluca Marin Perianu; S. Bosch; S.O. Dulman; Stuart Kininmonth; Paul J.M. Havinga

doi:10.1109/ISSNIP.2008.4762057

Wave Monitoring with Wireless Sensor Networks

Mihai Marin Perianu, Supriyo Chatterjea, Raluca Marin Perianu, S. Bosch, S.O. Dulman, Stuart Kininmonth, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

22 Citations (Scopus)

818 Downloads (Pure)

Abstract

Real-time collection of wave information is required for short and long term investigations of natural coastal processes. Current wave monitoring techniques use only point-measurements, which are practical where the bathymetry is relatively uniform. We propose a wave monitoring method that is suitable for places with varying bathymetry, such as coral reefs. Our solution uses a densely deployed wireless sensor network, which allows for a high spatial resolution and 3D monitoring and analysis of the waves. The wireless sensor nodes are equipped with low-cost, low-power, MEMS-based inertial sensing. We report on lab experiments with a Ferris wheel contraption, which is a technique used in practice to evaluate and calibrate the state-of-the-art wave monitoring solutions.

Original language	Undefined
Title of host publication	The 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Place of Publication	Los Alamitos
Publisher	IEEE Computer Society
Pages	611-616
Number of pages	6
ISBN (Print)	978-1-4244-2957-8
DOIs	https://doi.org/10.1109/ISSNIP.2008.4762057
Publication status	Published - Dec 2008
Event	4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008 - Crown Plaza Hotel, Darling Harbour, Sydney, Australia Duration: 15 Dec 2008 → 18 Dec 2008 Conference number: 4

Publication series

Name
Publisher	IEEE Computer Society Press
Number	WoTUG-31

Conference

Conference	4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008
Abbreviated title	ISSNIP
Country	Australia
City	Sydney
Period	15/12/08 → 18/12/08

Keywords

EWI-14580
METIS-254982
IR-65204
EC Grant Agreement nr.: FP7/215923

Access to Document

10.1109/ISSNIP.2008.4762057

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open
waves
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Cite this

Marin Perianu, M., Chatterjea, S., Marin Perianu, R., Bosch, S., Dulman, S. O., Kininmonth, S., & Havinga, P. J. M. (2008). Wave Monitoring with Wireless Sensor Networks. In The 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 611-616). Los Alamitos: IEEE Computer Society. https://doi.org/10.1109/ISSNIP.2008.4762057

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title = "Wave Monitoring with Wireless Sensor Networks",

abstract = "Real-time collection of wave information is required for short and long term investigations of natural coastal processes. Current wave monitoring techniques use only point-measurements, which are practical where the bathymetry is relatively uniform. We propose a wave monitoring method that is suitable for places with varying bathymetry, such as coral reefs. Our solution uses a densely deployed wireless sensor network, which allows for a high spatial resolution and 3D monitoring and analysis of the waves. The wireless sensor nodes are equipped with low-cost, low-power, MEMS-based inertial sensing. We report on lab experiments with a Ferris wheel contraption, which is a technique used in practice to evaluate and calibrate the state-of-the-art wave monitoring solutions.",

keywords = "EWI-14580, METIS-254982, IR-65204, EC Grant Agreement nr.: FP7/215923",

author = "{Marin Perianu}, Mihai and Supriyo Chatterjea and {Marin Perianu}, Raluca and S. Bosch and S.O. Dulman and Stuart Kininmonth and Havinga, {Paul J.M.}",

year = "2008",

month = "12",

doi = "10.1109/ISSNIP.2008.4762057",

language = "Undefined",

isbn = "978-1-4244-2957-8",

publisher = "IEEE Computer Society",

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Marin Perianu, M, Chatterjea, S, Marin Perianu, R, Bosch, S, Dulman, SO, Kininmonth, S & Havinga, PJM 2008, Wave Monitoring with Wireless Sensor Networks. in The 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing. IEEE Computer Society, Los Alamitos, pp. 611-616, 4th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2008, Sydney, Australia, 15/12/08. https://doi.org/10.1109/ISSNIP.2008.4762057

Wave Monitoring with Wireless Sensor Networks. / Marin Perianu, Mihai; Chatterjea, Supriyo; Marin Perianu, Raluca; Bosch, S.; Dulman, S.O.; Kininmonth, Stuart; Havinga, Paul J.M.

The 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing. Los Alamitos : IEEE Computer Society, 2008. p. 611-616.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Wave Monitoring with Wireless Sensor Networks

AU - Marin Perianu, Mihai

AU - Chatterjea, Supriyo

AU - Marin Perianu, Raluca

AU - Bosch, S.

AU - Dulman, S.O.

AU - Kininmonth, Stuart

AU - Havinga, Paul J.M.

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N2 - Real-time collection of wave information is required for short and long term investigations of natural coastal processes. Current wave monitoring techniques use only point-measurements, which are practical where the bathymetry is relatively uniform. We propose a wave monitoring method that is suitable for places with varying bathymetry, such as coral reefs. Our solution uses a densely deployed wireless sensor network, which allows for a high spatial resolution and 3D monitoring and analysis of the waves. The wireless sensor nodes are equipped with low-cost, low-power, MEMS-based inertial sensing. We report on lab experiments with a Ferris wheel contraption, which is a technique used in practice to evaluate and calibrate the state-of-the-art wave monitoring solutions.

AB - Real-time collection of wave information is required for short and long term investigations of natural coastal processes. Current wave monitoring techniques use only point-measurements, which are practical where the bathymetry is relatively uniform. We propose a wave monitoring method that is suitable for places with varying bathymetry, such as coral reefs. Our solution uses a densely deployed wireless sensor network, which allows for a high spatial resolution and 3D monitoring and analysis of the waves. The wireless sensor nodes are equipped with low-cost, low-power, MEMS-based inertial sensing. We report on lab experiments with a Ferris wheel contraption, which is a technique used in practice to evaluate and calibrate the state-of-the-art wave monitoring solutions.

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