title: Image-based environmental monitoring sensor application using an embedded wireless sensor network.
abstract: 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 Cannot 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.
authors.affiliation: Department of Computer Information Communication Engineering, Hongik University, Sejong 339-701, Korea. jeongyeup.paek@hongik.ac.kr.
authors.forename: Jeongyeup
authors.initials: J
authors.lastname: Paek
authors.affiliation: Computer Science Department, University of California, Los Angeles, CA 90095, USA. johnhicks@gmail.com.
authors.forename: John
authors.initials: J
authors.lastname: Hicks
authors.affiliation: Biology Department, University of California, Riverside, CA 92521, USA. sharonicoe@gmail.com.
authors.forename: Sharon
authors.initials: S
authors.lastname: Coe
authors.affiliation: Department of Computer Science, University of Southern California, Los Angeles, CA 90089, USA. ramesh@usc.edu.
authors.forename: Ramesh
authors.initials: R
authors.lastname: Govindan
mesh_terms: D000818:Animals; D003195:Computer Communication Networks / Q000295:instrumentation*; D004784:Environmental Monitoring / Q000295:instrumentation*; D004867:Equipment Design; D019544:Equipment Failure Analysis; D006799:Housing, Animal; D010781:Photography / Q000295:instrumentation*; D058998:Remote Sensing Technology / Q000295:instrumentation*; D014159:Transducers; D014741:Video Recording / Q000295:instrumentation*; D059015:Wireless Technology / Q000295:instrumentation*