• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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


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.


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
J. Ahn, A. Mysore, K. Zybko, C. Krumm, D. Lee, D. Kim, R. Han, S. Mishra and T. Hobbs, "Intelligent Robust Base-Station Research in Harsh Outdoor Wilderness Environments for Wildsense," KSII Transactions on Internet and Information Systems, vol. 15, no. 3, pp. 814-836, 2021. DOI: 10.3837/tiis.2021.03.001.

[ACM Style]
Junho Ahn, Akshay Mysore, Kati Zybko, Caroline Krumm, Dohyeon Lee, Dahyeon Kim, Richard Han, Shivakant Mishra, and Thompson Hobbs. 2021. Intelligent Robust Base-Station Research in Harsh Outdoor Wilderness Environments for Wildsense. KSII Transactions on Internet and Information Systems, 15, 3, (2021), 814-836. DOI: 10.3837/tiis.2021.03.001.