Design and empirical validation of a LoRaWAN IoT Smart Irrigation System

dc.contributor.authorFraga Lamas, Paula
dc.contributor.authorCelaya Echarri, Mikel
dc.contributor.authorAzpilicueta Fernández de las Heras, Leyre
dc.contributor.authorLópez Iturri, Peio
dc.contributor.authorFalcone Lanas, Francisco
dc.contributor.authorFernández Caramés, Tiago M.
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.date.accessioned2022-09-14T11:02:45Z
dc.date.available2022-09-14T11:02:45Z
dc.date.issued2020
dc.date.updated2022-09-14T10:59:08Z
dc.description.abstractIn some parts of the world, climate change has led to periods of drought that require managing efficiently the scarce water and energy resources. This paper proposes an IoT smart irrigation system specifically designed for urban areas where remote IoT devices have no direct access to the Internet or to the electrical grid, and where wireless communications are difficult due to the existence of long distances and multiple obstacles. To tackle such issues, this paper proposes a LoRaWAN-based architecture that provides long distance and communications with reduced power consumption. Specifically, the proposed system consists of IoT nodes that collect sensor data and send them to local fog computing nodes or to a remote cloud, which determine an irrigation schedule that considers factors such as the weather forecast or the moist detected by nearby nodes. It is essential to deploy the IoT nodes in locations within the provided coverage range and that guarantee good speed rates and reduced energy consumption. Due to this reason, this paper describes the use of an in-house 3D-ray launching radio-planning tool to determine the best locations for IoT nodes on a real medium-scale scenario (a university campus) that was modeled with precision, including obstacles such as buildings, vegetation, or vehicles. The obtained simulation results were compared with empirical measurements to assess the operating conditions and the radio planning tool accuracy. Thus, it is possible to optimize the wireless network topology and the overall performance of the network in terms of coverage, cost, and energy consumption.en
dc.description.sponsorshipThis work was funded by Xunta de Galicia (ED431C 2016-045, ED431G/01) and Ministerio de Ciencia, Innovación y Universidades, Gobierno de España (MCIU/AEI/FEDER,UE), Project RTI2018-095499-B-C31.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationFraga-Lamas, P.; Celaya-Echarri, M.; Azpilicueta, L.; Lopez-Iturri, P.; Falcone, F.; Fernández-Caramés, T.M.. (2020). Design and empirical validation of a LoRaWAN IoT Smart Irrigation System Proceedings. 42,1 .en
dc.identifier.doi10.3390/ecsa-6-06540
dc.identifier.issn2504-3900
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44017
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofProceedings, 2020, vol. 42 (1), p. 62en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/
dc.relation.publisherversionhttps://doi.org/10.3390/ecsa-6-06540
dc.rights© 2022 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectIoTen
dc.subjectLP-WANen
dc.subjectLoRaWANen
dc.subject3D ray launchingen
dc.subjectFog computingen
dc.subjectSmart citiesen
dc.subjectWireless Sensor Networks (WSN)en
dc.subjectSmart irrigationen
dc.subjectSustainabilityen
dc.subjectUrban areasen
dc.titleDesign and empirical validation of a LoRaWAN IoT Smart Irrigation Systemen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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relation.isAuthorOfPublication00915558-0f9a-4e8e-a04c-8a7eaa1629da
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relation.isAuthorOfPublication.latestForDiscovery76e71cd0-97ce-493a-853e-90a8d37d04c6

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