Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana
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...
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Published in | IEEE communications letters Vol. 20; no. 12; pp. 2534 - 2537 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
IEEE
01.12.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
ISSN | 1089-7798 1558-2558 |
DOI | 10.1109/LCOMM.2016.2612652 |
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Abstract | 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 behavior is detected, the network redirects this information to an external database for further treatment. This solution reduces power consumption and facilitates animals' behavior monitoring for biologists. |
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AbstractList | 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 behavior is detected, the network redirects this information to an external database for further treatment. This solution reduces power consumption and facilitates animals’ behavior monitoring for biologists. |
Author | Dominguez-Morales, J. P. Rios-Navarro, A. Tapiador-Morales, R. Cascado-Caballero, D. Dominguez-Morales, M. Gutierrez-Galan, D. Jimenez-Fernandez, A. Linares-Barranco, A. |
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Cites_doi | 10.1109/CICC.2012.6330636 10.1115/1.3662552 10.1007/978-3-319-40162-1_41 |
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References | madgwick (ref11) 2010 ref12 (ref8) 2016 guvenc (ref9) 2003 morales (ref3) 2015 ref10 dominguez-morales (ref1) 2011 ref2 (ref6) 2016 (ref5) 2011 (ref4) 2016 rappaport (ref7) 1996 |
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SubjectTerms | Animals Base stations Behavior Biomonitoring Classification distributed system Endangered species Global Positioning System National parks neural network Neural networks pattern recognition Power consumption Sensor network Temperature sensors Tracking Wild animals Wireless sensor networks |
Title | Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana |
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