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Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana

Opened Access Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana

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Autor: Domínguez Morales, Juan Pedro
Rios Navarro, Antonio
Domínguez Morales, Manuel Jesús
Tapiador Morales, Ricardo
Gutiérrez Galan, Daniel
Cascado Caballero, Daniel
Jiménez Fernández, Ángel Francisco
Linares Barranco, Alejandro
Departamento: Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores
Fecha: 2016
Publicado en: IEEE Communications Letters, 20 (12), 2534-2537.
Tipo de documento: Artículo
Resumen: The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wild animals is a difficult task due to the difficulties of tracking and classifying their actions. Nowadays, technology allows designing low-cost systems that make these tasks easier to carry out, and some of these systems produce good results; however, none of them obtains a high-accuracy classification because of the lack of information. Doñana National Park is a very rich environment with various endangered animal species. Thereby, this park requires a more accurate and efficient system of monitoring to act quickly against animal behaviors that may endanger certain species. In this letter, we propose a hierarchical, wireless sensor network installed in this park, to collect information about animals’ behaviors using intelligent devices placed on them which contain a neural network implementation to classify their behavior based on sensory information. Once a be...
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Cita: Domínguez Morales, J.P., Rios Navarro, A., Domínguez Morales, M.J., Tapiador Morales, R., Gutiérrez Galan, D., Cascado Caballero, D.,...,Linares Barranco, A. (2016). Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana. IEEE Communications Letters, 20 (12), 2534-2537.
Tamaño: 798.7Kb
Formato: PDF

URI: https://hdl.handle.net/11441/74560

DOI: 10.1109/LCOMM.2016.2612652

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Esta obra está bajo una Licencia Creative Commons Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América

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