Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2826
Publisher DOI: 10.3390/s18103343
Title: BATS: adaptive ultra low power sensor network for animal tracking
Language: English
Authors: Duda, Niklas 
Nowak, Thorsten 
Hartmann, Markus 
Schadhauser, Michael 
Cassens, Björn 
Wägemann, Peter 
Nabeel, Muhammad 
Ripperger, Simon 
Herbst, Sebastian 
Meyer-Wegener, Klaus 
Mayer, Frieder 
Dressler, Falko 
Schröder-Preikschat, Wolfgang 
Kapitza, Rüdiger 
Robert, Joerg 
Thielecke, Jörn 
Weigel, Robert 
Kölpin, Alexander  
Keywords: Adaptive sensor network;Animal tracking;Wireless sensor networks
Issue Date: 7-Oct-2018
Publisher: MDPI
Source: Sensors (Switzerland) 10 (18): 3343 (2018-10-07)
Journal or Series Name: Sensors 
Abstract (english): 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.
URI: http://hdl.handle.net/11420/6519
DOI: 10.15480/882.2826
ISSN: 1424-8220
Type: (wissenschaftlicher) Artikel
Funded by: This work is funded by German Science Foundation DFG grant FOR 1508, Research Unit BATS ”Dynamic Adaptable Applications for Bat Tracking by Embedded Communicating Systems”. We acknowledge support by Deutsche Forschungsgemeinschaft and Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) within the funding programme Open Access Publishing.
License: CC BY 4.0 (Attribution) CC BY 4.0 (Attribution)
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