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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  
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Lopez Tonellotto, Mariana Andrea  
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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  
dc.subject
resource optimization techniques  
dc.subject.classification
Ingeniería Eléctrica y Electrónica  
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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