Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey

Autores
Arif, Muhammad; Maya, Juan Augusto; Anandan, Narendiran; Pérez, Dailys Arronde; Lopez Tonellotto, Mariana Andrea; Zangl, Hubert; Rinner, Bernhard
Año de publicación
2024
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Smart agriculture is an enabling technology addressing the increasing challenges of efficiency, sustainability, and quality of food production. It requires rich data from the farming area at high spatial and temporal resolution. Although remote sensing systems have become readily available recently, in-situ sensing is still required to capture important properties of soil, crops, and their close environment. Ubiquitous sensor networks (USNs) provide a seamless and real-time in-situ sensing infrastructure that could overcome some limitations of smart agriculture. Resource efficiency is essential for USNs due to 1) the expected long operation time in typically resource-constrained environments, 2) the vast amount of captured and processed data, and 3) the ever-increasing application requirements. This survey comprehensively analyzes resource optimization techniques for USNs along three USN layers: the sensing, the communication & connectivity, and the processing & analysis layer. It discusses the application of these techniques in the smart agriculture domain and identifies current challenges and open research issues.
Fil: Arif, Muhammad. University Of Klagenfurt; Austria
Fil: Maya, Juan Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Anandan, Narendiran. University Of Klagenfurt; Austria
Fil: Pérez, Dailys Arronde. University Of Klagenfurt; Austria
Fil: Lopez Tonellotto, Mariana Andrea. University Of Klagenfurt; Austria
Fil: Zangl, Hubert. University Of Klagenfurt; Austria
Fil: Rinner, Bernhard. University Of Klagenfurt; Austria
Materia
Ubiquitous sensor networks
smart agriculture
resource optimization techniques
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/257735
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A SurveyArif, MuhammadMaya, Juan AugustoAnandan, NarendiranPérez, Dailys ArrondeLopez Tonellotto, Mariana AndreaZangl, HubertRinner, BernhardUbiquitous sensor networkssmart agricultureresource optimization techniqueshttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Smart agriculture is an enabling technology addressing the increasing challenges of efficiency, sustainability, and quality of food production. It requires rich data from the farming area at high spatial and temporal resolution. Although remote sensing systems have become readily available recently, in-situ sensing is still required to capture important properties of soil, crops, and their close environment. Ubiquitous sensor networks (USNs) provide a seamless and real-time in-situ sensing infrastructure that could overcome some limitations of smart agriculture. Resource efficiency is essential for USNs due to 1) the expected long operation time in typically resource-constrained environments, 2) the vast amount of captured and processed data, and 3) the ever-increasing application requirements. This survey comprehensively analyzes resource optimization techniques for USNs along three USN layers: the sensing, the communication & connectivity, and the processing & analysis layer. It discusses the application of these techniques in the smart agriculture domain and identifies current challenges and open research issues.Fil: Arif, Muhammad. University Of Klagenfurt; AustriaFil: Maya, Juan Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; ArgentinaFil: Anandan, Narendiran. University Of Klagenfurt; AustriaFil: Pérez, Dailys Arronde. University Of Klagenfurt; AustriaFil: Lopez Tonellotto, Mariana Andrea. University Of Klagenfurt; AustriaFil: Zangl, Hubert. University Of Klagenfurt; AustriaFil: Rinner, Bernhard. University Of Klagenfurt; AustriaInstitute of Electrical and Electronics Engineers2024-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/257735Arif, Muhammad; Maya, Juan Augusto; Anandan, Narendiran; Pérez, Dailys Arronde; Lopez Tonellotto, Mariana Andrea; et al.; Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey; Institute of Electrical and Electronics Engineers; IEEE Access; 12; 12-2024; 193332-1933642169-3536CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/10798427/info:eu-repo/semantics/altIdentifier/doi/10.1109/ACCESS.2024.3516814info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:39:11Zoai:ri.conicet.gov.ar:11336/257735instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:39:11.613CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
title Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
spellingShingle Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
Arif, Muhammad
Ubiquitous sensor networks
smart agriculture
resource optimization techniques
title_short Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
title_full Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
title_fullStr Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
title_full_unstemmed Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
title_sort Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
dc.creator.none.fl_str_mv Arif, Muhammad
Maya, Juan Augusto
Anandan, Narendiran
Pérez, Dailys Arronde
Lopez Tonellotto, Mariana Andrea
Zangl, Hubert
Rinner, Bernhard
author Arif, Muhammad
author_facet Arif, Muhammad
Maya, Juan Augusto
Anandan, Narendiran
Pérez, Dailys Arronde
Lopez Tonellotto, Mariana Andrea
Zangl, Hubert
Rinner, Bernhard
author_role author
author2 Maya, Juan Augusto
Anandan, Narendiran
Pérez, Dailys Arronde
Lopez Tonellotto, Mariana Andrea
Zangl, Hubert
Rinner, Bernhard
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Ubiquitous sensor networks
smart agriculture
resource optimization techniques
topic Ubiquitous sensor networks
smart agriculture
resource optimization techniques
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Smart agriculture is an enabling technology addressing the increasing challenges of efficiency, sustainability, and quality of food production. It requires rich data from the farming area at high spatial and temporal resolution. Although remote sensing systems have become readily available recently, in-situ sensing is still required to capture important properties of soil, crops, and their close environment. Ubiquitous sensor networks (USNs) provide a seamless and real-time in-situ sensing infrastructure that could overcome some limitations of smart agriculture. Resource efficiency is essential for USNs due to 1) the expected long operation time in typically resource-constrained environments, 2) the vast amount of captured and processed data, and 3) the ever-increasing application requirements. This survey comprehensively analyzes resource optimization techniques for USNs along three USN layers: the sensing, the communication & connectivity, and the processing & analysis layer. It discusses the application of these techniques in the smart agriculture domain and identifies current challenges and open research issues.
Fil: Arif, Muhammad. University Of Klagenfurt; Austria
Fil: Maya, Juan Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Centro de Simulación Computacional para Aplicaciones Tecnológicas; Argentina. Universidad de Buenos Aires. Facultad de Ingeniería; Argentina
Fil: Anandan, Narendiran. University Of Klagenfurt; Austria
Fil: Pérez, Dailys Arronde. University Of Klagenfurt; Austria
Fil: Lopez Tonellotto, Mariana Andrea. University Of Klagenfurt; Austria
Fil: Zangl, Hubert. University Of Klagenfurt; Austria
Fil: Rinner, Bernhard. University Of Klagenfurt; Austria
description Smart agriculture is an enabling technology addressing the increasing challenges of efficiency, sustainability, and quality of food production. It requires rich data from the farming area at high spatial and temporal resolution. Although remote sensing systems have become readily available recently, in-situ sensing is still required to capture important properties of soil, crops, and their close environment. Ubiquitous sensor networks (USNs) provide a seamless and real-time in-situ sensing infrastructure that could overcome some limitations of smart agriculture. Resource efficiency is essential for USNs due to 1) the expected long operation time in typically resource-constrained environments, 2) the vast amount of captured and processed data, and 3) the ever-increasing application requirements. This survey comprehensively analyzes resource optimization techniques for USNs along three USN layers: the sensing, the communication & connectivity, and the processing & analysis layer. It discusses the application of these techniques in the smart agriculture domain and identifies current challenges and open research issues.
publishDate 2024
dc.date.none.fl_str_mv 2024-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/257735
Arif, Muhammad; Maya, Juan Augusto; Anandan, Narendiran; Pérez, Dailys Arronde; Lopez Tonellotto, Mariana Andrea; et al.; Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey; Institute of Electrical and Electronics Engineers; IEEE Access; 12; 12-2024; 193332-193364
2169-3536
CONICET Digital
CONICET
url http://hdl.handle.net/11336/257735
identifier_str_mv Arif, Muhammad; Maya, Juan Augusto; Anandan, Narendiran; Pérez, Dailys Arronde; Lopez Tonellotto, Mariana Andrea; et al.; Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey; Institute of Electrical and Electronics Engineers; IEEE Access; 12; 12-2024; 193332-193364
2169-3536
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/10798427/
info:eu-repo/semantics/altIdentifier/doi/10.1109/ACCESS.2024.3516814
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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