DocumentCode :
625336
Title :
Distributed Computing Framework for Underwater Acoustic Sensor Networks
Author :
Pandey, Parul ; Pompili, Dario
Author_Institution :
Dept. of Electr. & Comput. Eng., Rutgers Univ., New Brunswick, NJ, USA
fYear :
2013
fDate :
20-23 May 2013
Firstpage :
318
Lastpage :
320
Abstract :
The goal of this paper is to enable near-realtime acquisition and processing of high resolution, high-quality, heterogeneous data from mobile and static sensing platforms to advance ocean exploration by providing infrastructure for a distributed computing framework. Reaching this goal will improve the efficiency of monitoring dynamic oceanographic phenomena such as phytoplankton growth and rate of photosynthesis, salinity and temperature gradient, and concentration of pollutants. resource provisioning framework for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool a hybrid static/mobile computing grid is presented. This local computing grid can be harnessed to enable innovative data- and compute-intensive mobile applications such as onshore near-real-time data processing, analysis and visualization, mission planning and online ocean adaptive sampling.
Keywords :
mobile computing; underwater acoustic communication; wireless sensor networks; advance ocean exploration; compute-intensive mobile applications; distributed computing framework; dynamic oceanographic phenomena; hybrid static-mobile computing grid; innovative data-intensive mobile applications; mobile device communication capabilities; mobile sensing platforms; near-real-time acquisition; online ocean adaptive sampling; onshore near-real-time data processing; photosynthesis; phytoplankton; pollutant concentration; source provisioning framework; static device communication capabilities; static sensing platforms; temperature gradient; underwater acoustic sensor networks; Distributed databases; Mobile communication; Ocean temperature; Real-time systems; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing in Sensor Systems (DCOSS), 2013 IEEE International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4799-0206-4
Type :
conf
DOI :
10.1109/DCOSS.2013.76
Filename :
6569448
Link To Document :
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