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dc.contributor.author
Finochietto, Mariano
dc.contributor.author
Santos, Rodrigo Martin
dc.contributor.author
Ochoa, Sergio F.
dc.contributor.author
Meseguer, Roc
dc.date.available
2023-07-21T20:43:24Z
dc.date.issued
2022-10-13
dc.identifier.citation
Finochietto, Mariano; Santos, Rodrigo Martin; Ochoa, Sergio F.; Meseguer, Roc; Reducing Operational Expenses of LoRaWAN-Based Internet of Remote Things Applications; Molecular Diversity Preservation International; Sensors; 22; 20; 13-10-2022; 1 - 18
dc.identifier.issn
1424-8220
dc.identifier.uri
http://hdl.handle.net/11336/204892
dc.description.abstract
LoRaWAN has become the most widely used low-power wide-area network technology to implement monitoring solutions based on the Internet of remote things (IoRT) paradigm. Typically, these solutions interconnect remote sensing areas and data processing infrastructure located in urban centers. The operation expenses of these solutions depend mainly on the traffic sent through the network backhaul, i.e., the link that connects the remote sensing area and the urban area where the data are usually processed and stored. This service is provided by telecommunication companies and represents the main operation cost of IoRT solutions. These expenses usually limit the affordability of IoRT-based systems in developing countries, and also in scenarios where the operational cost is an issue to address. This paper presents an extension to the LoRaWAN protocol, named Node-Aware-LoRaWAN (NA-LoRaWAN), that reduces the traffic in the backhaul, thus decreasing the operational expenses of IoRT-based systems. In order to evaluate the performance of NA-LoRaWAN, it was compared to a regular LoRaWAN implementation. Depending on the network scenario, the proposed extension reduced the traffic through the backhaul in the range of 12–34%. This extension opens several opportunities to use IoRT solutions in application domains with a low operational budget, e.g., precision agriculture, environmental monitoring and natural hazards’ early detection.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Molecular Diversity Preservation International
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by/2.5/ar/
dc.subject
INTERNET OF REMOTE THINGS
dc.subject
IORT-BASED MONITORING SYSTEMS
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LORAWAN EXTENSION
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REDUCTION OF OPERATIONAL EXPENSES
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REMOTE SENSING
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Reducing Operational Expenses of LoRaWAN-Based Internet of Remote Things Applications
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2023-07-06T17:26:14Z
dc.journal.volume
22
dc.journal.number
20
dc.journal.pagination
1 - 18
dc.journal.pais
Suiza
dc.description.fil
Fil: Finochietto, Mariano. Universidad Nacional de Mar del Plata. Departamento de Información Tecnológica. Grupo de Información en Desarrollos Informáticos; Argentina
dc.description.fil
Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras. Laboratorio de Ciencias de Las Imágenes; Argentina
dc.description.fil
Fil: Ochoa, Sergio F.. Universidad de Chile. Departamento de Ciencias de la Computación; Chile
dc.description.fil
Fil: Meseguer, Roc. Universitat Polytecnica de Catalunya. Department of Computer Architecture; España
dc.journal.title
Sensors
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.3390/s22207778
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1424-8220/22/20/7778
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