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Sensors 2017, 17(6), 1331; doi:10.3390/s17061331

An FPGA-Based WASN for Remote Real-Time Monitoring of Endangered Species: A Case Study on the Birdsong Recognition of Botaurus stellaris

GTM—Grup de recerca en Tecnologies Mèdia, La Salle-Universitat Ramon Llull, C/Quatre Camins 30, 08022 Barcelona, Spain
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Academic Editors: Dirk Lehmhus and Stefan Bosse
Received: 31 March 2017 / Revised: 1 June 2017 / Accepted: 6 June 2017 / Published: 8 June 2017
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Abstract

Fast environmental variations due to climate change can cause mass decline or even extinctions of species, having a dramatic impact on the future of biodiversity. During the last decade, different approaches have been proposed to track and monitor endangered species, generally based on costly semi-automatic systems that require human supervision adding limitations in coverage and time. However, the recent emergence of Wireless Acoustic Sensor Networks (WASN) has allowed non-intrusive remote monitoring of endangered species in real time through the automatic identification of the sound they emit. In this work, an FPGA-based WASN centralized architecture is proposed and validated on a simulated operation environment. The feasibility of the architecture is evaluated in a case study designed to detect the threatened Botaurus stellaris among other 19 cohabiting birds species in The Parc Natural dels Aiguamolls de l’Empord View Full-Text
Keywords: wireless acoustic sensor networks; FPGA; remote real-time monitoring; birdsong recognition; endangered species; Botaurus stellaris wireless acoustic sensor networks; FPGA; remote real-time monitoring; birdsong recognition; endangered species; Botaurus stellaris
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hervás, M.; Alsina-Pagès, R.M.; Alías, F.; Salvador, M. An FPGA-Based WASN for Remote Real-Time Monitoring of Endangered Species: A Case Study on the Birdsong Recognition of Botaurus stellaris. Sensors 2017, 17, 1331.

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