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http://dx.doi.org/10.3837/tiis.2021.03.001

Intelligent Robust Base-Station Research in Harsh Outdoor Wilderness Environments for Wildsense  

Ahn, Junho (Korea National University of Transportation, Department of Computer Information Technology)
Mysore, Akshay (University of Colorado, Boulder, Department of Computer Science)
Zybko, Kati (Colorado State University, Natural Resource Ecology Laboratory, Department of Ecology)
Krumm, Caroline (Colorado State University, Natural Resource Ecology Laboratory, Department of Ecology)
Lee, Dohyeon (Korea National University of Transportation, Department of Computer Information Technology)
Kim, Dahyeon (Korea National University of Transportation, Department of Computer Information Technology)
Han, Richard (University of Colorado, Boulder, Department of Computer Science)
Mishra, Shivakant (University of Colorado, Boulder, Department of Computer Science)
Hobbs, Thompson (Colorado State University, Natural Resource Ecology Laboratory, Department of Ecology)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.15, no.3, 2021 , pp. 814-836 More about this Journal
Abstract
Wildlife ecologists and biologists recapture deer to collect tracking data from deer collars or wait for a drop-off of a deer collar construction that is automatically detached and disconnected. The research teams need to manage a base camp with medical trailers, helicopters, and airplanes to capture deer or wait for several months until the deer collar drops off of the deer's neck. We propose an intelligent robust base-station research with a low-cost and time saving method to obtain recording sensor data from their collars to a listener node, and readings are obtained without opening the weatherproof deer collar. We successfully designed the and implemented a robust base station system for automatically collecting data of the collars and listener motes in harsh wilderness environments. Intelligent solutions were also analyzed for improved data collections and pattern predictions with drone-based detection and tracking algorithms.
Keywords
Intelligence; Vision Detection; Base Station; Data Collection; Harsh Environments; Robust Base Station; Wilderness Area;
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