dc.creator | Domínguez Morales, Juan Pedro | es |
dc.creator | Ríos Navarro, José Antonio | es |
dc.creator | Domínguez Morales, Manuel Jesús | es |
dc.creator | Tapiador Morales, Ricardo | es |
dc.creator | Gutiérrez Galán, Daniel | es |
dc.creator | Cascado Caballero, Daniel | es |
dc.creator | Jiménez Fernández, Ángel Francisco | es |
dc.creator | Linares Barranco, Alejandro | es |
dc.date.accessioned | 2018-05-14T10:10:09Z | |
dc.date.available | 2018-05-14T10:10:09Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | 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. | |
dc.identifier.issn | 1089-7798 | es |
dc.identifier.uri | https://hdl.handle.net/11441/74560 | |
dc.description.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. | es |
dc.description.sponsorship | Junta de Andalucía P12-TIC-1300 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | IEEE Computer Society | es |
dc.relation.ispartof | IEEE Communications Letters, 20 (12), 2534-2537. | |
dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Sensor networks | es |
dc.subject | Neural networks | es |
dc.subject | Pattern recognition | es |
dc.subject | 802.15.4 | es |
dc.subject | Distributed systems | es |
dc.title | Wireless Sensor Network for Wildlife Tracking and Behavior Classification of Animals in Doñana | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores | es |
dc.relation.projectID | P12-TIC-1300 | es |
dc.relation.publisherversion | https://ieeexplore.ieee.org/document/7574341/ | es |
dc.identifier.doi | 10.1109/LCOMM.2016.2612652 | es |
dc.contributor.group | Universidad de Sevilla. TEP-108: Robótica y Tecnología de Computadores Aplicada a la Rehabilitación | es |
idus.format.extent | 4 | es |
dc.journaltitle | IEEE Communications Letters | es |
dc.publication.volumen | 20 | es |
dc.publication.issue | 12 | es |
dc.publication.initialPage | 2534 | es |
dc.publication.endPage | 2537 | es |
dc.identifier.sisius | 21058576 | es |
dc.contributor.funder | Junta de Andalucía | |