Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach

Wireless Sensor Networks (WSNs) are a technology that is becoming very popular for many applications, and environmental monitoring is one of its most important application areas. This technology solves the lack of flexibility of wired sensor installations and, at the same time, reduces the deploymen...

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Autores: Larios Marín, Diego Francisco, Barbancho Concejero, Julio, Sevillano Ramos, José Luis, Rodríguez Rodríguez, Gustavo Antonio, Molina Cantero, Francisco Javier, González Gasull, Virginia, Mora-Merchán, Javier María, León de Mora, Carlos
Tipo de recurso: artículo
Fecha de publicación:2013
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/22736
Acceso en línea:http://hdl.handle.net/11441/22736
https://doi.org/10.3390%2Fs130912044
Access Level:acceso abierto
Palabra clave:Wireless sensor network
habitat monitoring
neural networks
computational intelligence
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spelling Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approachLarios Marín, Diego FranciscoBarbancho Concejero, JulioSevillano Ramos, José LuisRodríguez Rodríguez, Gustavo AntonioMolina Cantero, Francisco JavierGonzález Gasull, VirginiaMora-Merchán, Javier MaríaLeón de Mora, CarlosWireless sensor networkhabitat monitoringneural networkscomputational intelligenceWireless Sensor Networks (WSNs) are a technology that is becoming very popular for many applications, and environmental monitoring is one of its most important application areas. This technology solves the lack of flexibility of wired sensor installations and, at the same time, reduces the deployment costs. To demonstrate the advantages of WSN technology, for the last five years we have been deploying some prototypes in the Doñana Biological Reserve, which is an important protected area in Southern Spain. These prototypes not only evaluate the technology, but also solve some of the monitoring problems that have been raised by biologists working in Doñana. This paper presents a review of the work that has been developed during these five years. Here, we demonstrate the enormous potential of using machine learning in wireless sensor networks for environmental and animal monitoring because this approach increases the amount of useful information and reduces the effort that is required by biologists in an environmental monitoring task.Tecnología ElectrónicaArquitectura y Tecnología de Computadores2013info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/22736https://doi.org/10.3390%2Fs130912044reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSensors, 9, 12044-12069http://dx.doi.org/10.3390%2Fs130912044info:eu-repo/semantics/openAccessoai:idus.us.es:11441/227362026-06-17T12:51:07Z
dc.title.none.fl_str_mv Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
title Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
spellingShingle Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
Larios Marín, Diego Francisco
Wireless sensor network
habitat monitoring
neural networks
computational intelligence
title_short Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
title_full Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
title_fullStr Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
title_full_unstemmed Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
title_sort Five years of designing wireless sensor networks in the Doñana Biological Reserve (Spain): an applications approach
dc.creator.none.fl_str_mv Larios Marín, Diego Francisco
Barbancho Concejero, Julio
Sevillano Ramos, José Luis
Rodríguez Rodríguez, Gustavo Antonio
Molina Cantero, Francisco Javier
González Gasull, Virginia
Mora-Merchán, Javier María
León de Mora, Carlos
author Larios Marín, Diego Francisco
author_facet Larios Marín, Diego Francisco
Barbancho Concejero, Julio
Sevillano Ramos, José Luis
Rodríguez Rodríguez, Gustavo Antonio
Molina Cantero, Francisco Javier
González Gasull, Virginia
Mora-Merchán, Javier María
León de Mora, Carlos
author_role author
author2 Barbancho Concejero, Julio
Sevillano Ramos, José Luis
Rodríguez Rodríguez, Gustavo Antonio
Molina Cantero, Francisco Javier
González Gasull, Virginia
Mora-Merchán, Javier María
León de Mora, Carlos
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Tecnología Electrónica
Arquitectura y Tecnología de Computadores
dc.subject.none.fl_str_mv Wireless sensor network
habitat monitoring
neural networks
computational intelligence
topic Wireless sensor network
habitat monitoring
neural networks
computational intelligence
description Wireless Sensor Networks (WSNs) are a technology that is becoming very popular for many applications, and environmental monitoring is one of its most important application areas. This technology solves the lack of flexibility of wired sensor installations and, at the same time, reduces the deployment costs. To demonstrate the advantages of WSN technology, for the last five years we have been deploying some prototypes in the Doñana Biological Reserve, which is an important protected area in Southern Spain. These prototypes not only evaluate the technology, but also solve some of the monitoring problems that have been raised by biologists working in Doñana. This paper presents a review of the work that has been developed during these five years. Here, we demonstrate the enormous potential of using machine learning in wireless sensor networks for environmental and animal monitoring because this approach increases the amount of useful information and reduces the effort that is required by biologists in an environmental monitoring task.
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/22736
https://doi.org/10.3390%2Fs130912044
url http://hdl.handle.net/11441/22736
https://doi.org/10.3390%2Fs130912044
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sensors, 9, 12044-12069
http://dx.doi.org/10.3390%2Fs130912044
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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