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BATS: Adaptive Ultra Low Power Sensor Network for Animal Tracking.
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, Jörg; Thielecke, Jörn; Weigel, Robert; Kölpin, Alexander.
Afiliación
  • Duda N; Institute for Electronics Engineering, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. niklas.duda@fau.de.
  • Nowak T; Institute of Information Technology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. thorsten.nowak@fau.de.
  • Hartmann M; Institute of Information Technology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. markus.hartmann@fau.de.
  • Schadhauser M; Institute of Information Technology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. michael.schadhauser@fau.de.
  • Cassens B; Institute of Operating Systems and Computer Networks, TU Braunschweig, Brunswick 38106, Germany. cassens@ibr.cs.tu-bs.de.
  • Wägemann P; Chair of Computer Science 4 ⁻ Distributed Systems and Operating Systems, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. waegemann@cs.fau.de.
  • Nabeel M; Heinz Nixdorf Institute and Department of Computer Science, Paderborn University, Paderborn 33098, Germany. nabeel@ccs-labs.org.
  • Ripperger S; Museum für Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin 10115, Germany. simon.ripperger@mfn-berlin.de.
  • Herbst S; Smithsonian Tropical Research Institute, Apartado 0843-03092 Balboa, Panama. simon.ripperger@mfn-berlin.de.
  • Meyer-Wegener K; Chair of Computer Science 6 - Data Management, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. sebastian.herbst@fau.de.
  • Mayer F; Chair of Computer Science 6 - Data Management, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. klaus.meyer-wegener@fau.de.
  • Dressler F; Museum für Naturkunde, Leibniz-Institute for Evolution and Biodiversity Science, Berlin 10115, Germany. frieder.mayer@mfn.berlin.
  • Schröder-Preikschat W; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), Berlin 14195, Germany. frieder.mayer@mfn.berlin.
  • Kapitza R; Heinz Nixdorf Institute and Department of Computer Science, Paderborn University, Paderborn 33098, Germany. dressler@ccs-labs.org.
  • Robert J; Chair of Computer Science 4 ⁻ Distributed Systems and Operating Systems, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. wosch@cs.fau.de.
  • Thielecke J; Institute of Operating Systems and Computer Networks, TU Braunschweig, Brunswick 38106, Germany. kapitza@ibr.cs.tu-bs.de.
  • Weigel R; Institute of Information Technology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. joerg.robert@fau.de.
  • Kölpin A; Institute of Information Technology, Friedrich-Alexander University of Erlangen-Nürnberg, Erlangen 91058, Germany. joern.thielecke@fau.de.
Sensors (Basel) ; 18(10)2018 Oct 07.
Article en En | MEDLINE | ID: mdl-30301239
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tecnología Inalámbrica Límite: Animals Idioma: En Año: 2018 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Tecnología Inalámbrica Límite: Animals Idioma: En Año: 2018 Tipo del documento: Article