58. ADAPTIVELY SAMPLED UNDERWATER NODE

Department: Computer Science & Engineering
Research Institute Affiliation: California Institute for Telecommunications and Information Technology (Calit2)
Faculty Advisor(s): Ryan Kastner

Primary Student
Name: Bridget Gwenith Montobbio Benson
Email: b1benson@ucsd.edu
Phone: 858-534-8908
Grad Year: 2010

Student Collaborators
Ying Li, littleguten@gmail.com

Abstract
When deploying underwater sensors, marine scientists must select a sampling rate that they think will be fast enough to sample their phenomenon of interest (eddies, harmful algal blooms, turbulence, etc.), but slow enough to allow for a long deployment. It is difficult to choose the ‘ideal’ sampling rate and therefore the sensor may fail to capture the event of interest. Scientists recognize that the solution to this sampling rate problem would be to ‘talk’ to their instruments from shore and dynamically adjust the sampling rate according to weather conditions and/or what is seen in the already collected data. For example, if a scientist detects that a harmful algal bloom is forming, she could choose to increase the sampling rate of the instrument. When the scientist notices that the algal bloom is over, she can decrease the sampling rate to save power and thus extend the deployment time. Few real-time technologies exist for marine scientists to remotely ‘talk’ to their deployed instruments, thus this poster describes our work in progress of an adaptively sampled underwater node. This node facilitates the communication between a shore node (connected to a desktop computer) and a remote node (connected to an underwater instrument) through the use of a wireless underwater acoustic modem.

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