DocumentCode :
3156126
Title :
Drifter Sensor Network for Environmental Monitoring
Author :
Boydstun, Daniel ; Farich, Matthew ; McCarthy, John ; Rubinson, Silas ; Smith, Zachary ; Rekleitis, Ioannis
Author_Institution :
Comput. Eng., Univ. of South Carolina, Columbia, SC, USA
fYear :
2015
fDate :
3-5 June 2015
Firstpage :
16
Lastpage :
22
Abstract :
This paper presents the design, development, and deployment of a sensor network of drifter nodes. The target domain is coastal water monitoring, and study of LaGrange water dynamics. The nodes are equipped with a camera, inertial measurement unit (IMU), GPS, WiFi, and a computing unit. Each unit is water resistant, with buoyancy characteristics that enable it to float in a vertical position. The sensors are capable of recording relocated visual data at variable rates. They collect LaGrange current observations as they move along the water surface. In addition to the current measurements, the drifters are also recording image data that provide insights about the health of the marine life below the surface. We propose, to utilize the motion generated by the wave action in order to record wider field of view images from the ocean floor. Results from a successful deployment of the coast of Barbados are presented together with a discussion on lessons learned.
Keywords :
Global Positioning System; buoyancy; cameras; geophysical image processing; oceanography; sensor placement; wireless LAN; Barbados coast; GPS; IMU; Lagrangian water dynamics; WiFi; buoyancy characteristics; camera; coastal water monitoring; current measurements; drifter nodes; drifter sensor network; environmental monitoring; inertial measurement unit; ocean floor; Cameras; Current measurement; Global Positioning System; Robot sensing systems; Sea measurements; Sea surface; Image stitching; Sensor network; Underwater Vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision (CRV), 2015 12th Conference on
Conference_Location :
Halifax, NS
Type :
conf
DOI :
10.1109/CRV.2015.10
Filename :
7158316
Link To Document :
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