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BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking

Authors :
Niklas Duda
Thorsten Nowak
Markus Hartmann
Michael Schadhauser
Björn Cassens
Peter Wägemann
Muhammad Nabeel
Simon Ripperger
Sebastian Herbst
Klaus Meyer-Wegener
Frieder Mayer
Falko Dressler
Wolfgang Schröder-Preikschat
Rüdiger Kapitza
Jörg Robert
Jörn Thielecke
Robert Weigel
Alexander Kölpin
Source :
Sensors, Vol 18, Iss 10, p 3343 (2018)
Publication Year :
2018
Publisher :
MDPI AG, 2018.

Abstract

In this paper, the BATS project is presented, which aims to track the behavior of bats via an ultra-low power wireless sensor network. An overview about the whole project and its parts like sensor node design, tracking grid and software infrastructure is given and the evaluation of the project is shown. The BATS project includes a lightweight sensor node that is attached to bats and combines multiple features. Communication among sensor nodes allows tracking of bat encounters. Flight trajectories of individual tagged bats can be recorded at high spatial and temporal resolution by a ground node grid. To increase the communication range, the BATS project implemented a long-range telemetry system to still receive sensor data outside the standard ground node network. The whole system is designed with the common goal of ultra-low energy consumption while still maintaining optimal measurement results. To this end, the system is designed in a flexible way and is able to adapt its functionality according to the current situation. In this way, it uses the energy available on the sensor node as efficient as possible.

Details

Language :
English
ISSN :
14248220
Volume :
18
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.7e28cb26534fb5b2af45e9915a44a8
Document Type :
article
Full Text :
https://doi.org/10.3390/s18103343