This article discusses the experiences from the development and deployment\nof two image-based environmental monitoring sensor applications using an embedded\nwireless sensor network. Our system uses low-power image sensors and the Tenet general\npurpose sensing system for tiered embedded wireless sensor networks. It leverages Tenet�s\nbuilt-in support for reliable delivery of high rate sensing data, scalability and its flexible\nscripting language, which enables mote-side image compression and the ease of deployment.\nOur first deployment of a pitfall trap monitoring application at the James San Jacinto\nMountain Reserve provided us with insights and lessons learned into the deployment of and\ncompression schemes for these embedded wireless imaging systems. Our three month-long\ndeployment of a bird nest monitoring application resulted in over 100,000 images collected\nfrom a 19-camera node network deployed over an area of 0.05 square miles, despite highly\nvariable environmental conditions. Our biologists found the on-line, near-real-time access to\nimages to be useful for obtaining data on answering their biological questions.
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