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dc.contributor.author
Arif, Muhammad
dc.contributor.author
Maya, Juan Augusto

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Anandan, Narendiran
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Pérez, Dailys Arronde
dc.contributor.author
Lopez Tonellotto, Mariana Andrea

dc.contributor.author
Zangl, Hubert
dc.contributor.author
Rinner, Bernhard
dc.date.available
2025-03-31T17:24:25Z
dc.date.issued
2024-12
dc.identifier.citation
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
dc.identifier.issn
2169-3536
dc.identifier.uri
http://hdl.handle.net/11336/257735
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers

dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Ubiquitous sensor networks
dc.subject
smart agriculture
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resource optimization techniques
dc.subject.classification
Ingeniería Eléctrica y Electrónica

dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información

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INGENIERÍAS Y TECNOLOGÍAS

dc.title
Resource-Efficient Ubiquitous Sensor Networks for Smart Agriculture: A Survey
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2025-03-31T15:55:36Z
dc.journal.volume
12
dc.journal.pagination
193332-193364
dc.journal.pais
Estados Unidos

dc.journal.ciudad
New Jersey
dc.description.fil
Fil: Arif, Muhammad. University Of Klagenfurt; Austria
dc.description.fil
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
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Fil: Anandan, Narendiran. University Of Klagenfurt; Austria
dc.description.fil
Fil: Pérez, Dailys Arronde. University Of Klagenfurt; Austria
dc.description.fil
Fil: Lopez Tonellotto, Mariana Andrea. University Of Klagenfurt; Austria
dc.description.fil
Fil: Zangl, Hubert. University Of Klagenfurt; Austria
dc.description.fil
Fil: Rinner, Bernhard. University Of Klagenfurt; Austria
dc.journal.title
IEEE Access
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/10798427/
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/ACCESS.2024.3516814
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