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

• Junho Ahn,
• Akshay Mysore,
• Kati Zybko,
• Caroline Krumm,
• Dohyeon Lee,
• Dahyeon Kim,
• Richard Han,
• Shivakant Mishra,
• Thompson Hobbs,

Vol. 15, No. 3, March 31, 2021
10.3837/tiis.2021.03.001, Download Paper (Free):

• Intelligence
• Vision Detection
• Base station
• Data Collection
• Harsh Environments
• Robust Base Station
• Wilderness Area

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.

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