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Environmental Monitoring with Hybrid Sensor Networks
Nirupama BulusuComputer Science Department
Portland State Universityhttp://www.cs.pdx.edu/~nbulusu
US-France Young Engineering Scientists Symposium – October 2007Copyright © Nirupama Bulusu
Coastal Monitoring
(Source: http://www.ccalmr.ogi.edu/CORIE/)
Multi-scale data assimilation combines observational data with numerical data models to produce an estimated system state for the physical process.
CORIE: A pilot EOFS for the Columbia RiverSource: http://www.stccmop.org
Online adaptive sampling algorithmsguide mobile cruise vehicles to reduce uncertainty in the data assimilation
Cane-Toad Monitoring
Acoustic vocalizations can be used to distinguish and census different amphibians
– call rate, call duration, amplitude-time envelope, waveform periodicity, pulse-repetition rate, frequency modulation, frequency and spectral patterns
Frog 1
Frog 2
Frog 3 (Cane
toad)
Source: http://www.stopthetoad.org.au
Concurrent Random Sensing
SOURCE
CONCURRENT RANDOM SAMPLING SENSORS
Each sensor concurrently and randomly samples a source at a rate much lower than the traditional sensing rate
Sense then compressCompress while sensing
Recover exactly in ideal case (no noise)Recover with bounded error (noise)
Research InterestsTheoryData Compression (EWSN07) and Compressive Sensing
Data Modeling(Emnets05,IWASN06)
Data Assimilation
Localization (IEEE PC00, ACM TECS04, Sensys04, IEEE TMC05)
Camera Calibration
Network optimization(BaseNets05,DCOSS07)
Systems ImplementationCascades: Python-based framework for hybrid sensor networks (NOSSDAV05, MMCN06)SenseTK: Application-specific video sensing toolkit (MMCN07)
ApplicationsCoastal Monitoring (DCOSS07)
Cane-Toad Monitoring(IPSN/SPOTS 05)
Tip of the Iceberg?
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