Image-Based Environmental Monitoring Sensor Application Using an Embedded Wireless Sensor Network
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Department of Computer Information Communication Engineering, Hongik University, Sejong 339-701, Korea
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Computer Science Department, University of California, Los Angeles, CA 90095, USA
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Biology Department, University of California, Riverside, CA 92521, USA
4
Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA
*
Author to whom correspondence should be addressed.
Sensors 2014, 14(9), 15981-16002; https://doi.org/10.3390/s140915981
Received: 11 July 2014
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Revised: 14 August 2014
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Accepted: 25 August 2014
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Published: 28 August 2014
(This article belongs to the Special Issue Visual Sensor Networks)
This article discusses the experiences from the development and deployment of two image-based environmental monitoring sensor applications using an embedded wireless sensor network. Our system uses low-power image sensors and the Tenet general purpose sensing system for tiered embedded wireless sensor networks. It leverages Tenet’s built-in support for reliable delivery of high rate sensing data, scalability and its flexible scripting language, which enables mote-side image compression and the ease of deployment. Our first deployment of a pitfall trap monitoring application at the James San Jacinto Mountain Reserve provided us with insights and lessons learned into the deployment of and compression schemes for these embedded wireless imaging systems. Our three month-long deployment of a bird nest monitoring application resulted in over 100,000 images collected from a 19-camera node network deployed over an area of 0.05 square miles, despite highly variable environmental conditions. Our biologists found the on-line, near-real-time access to images to be useful for obtaining data on answering their biological questions.
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Keywords:
wireless sensor networks; image sensors; sensor applications; tenet, rcrt,cyclops, environmental monitoring
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This is an open access article distributed under the Creative Commons Attribution License
MDPI and ACS Style
Paek, J.; Hicks, J.; Coe, S.; Govindan, R. Image-Based Environmental Monitoring Sensor Application Using an Embedded Wireless Sensor Network. Sensors 2014, 14, 15981-16002. https://doi.org/10.3390/s140915981
AMA Style
Paek J, Hicks J, Coe S, Govindan R. Image-Based Environmental Monitoring Sensor Application Using an Embedded Wireless Sensor Network. Sensors. 2014; 14(9):15981-16002. https://doi.org/10.3390/s140915981
Chicago/Turabian StylePaek, Jeongyeup, John Hicks, Sharon Coe, and Ramesh Govindan. 2014. "Image-Based Environmental Monitoring Sensor Application Using an Embedded Wireless Sensor Network" Sensors 14, no. 9: 15981-16002. https://doi.org/10.3390/s140915981
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