Abstract
| 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 | |
| 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
Cite this
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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
TY - GEN
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.
PY - 2008/12
Y1 - 2008/12
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.
KW - EWI-14580
KW - METIS-254982
KW - IR-65204
KW - EC Grant Agreement nr.: FP7/215923
U2 - 10.1109/ISSNIP.2008.4762057
DO - 10.1109/ISSNIP.2008.4762057
M3 - Conference contribution
SN - 978-1-4244-2957-8
SP - 611
EP - 616
BT - The 2008 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
PB - IEEE Computer Society
CY - Los Alamitos
ER -