An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities

[EN] LoRa has proven to be an ideal solution for Internet of Things networks and applications that require long-distance communications, such as those related to smart cities or precision agriculture. Its low cost combined with the wide availability of LoRa-compatible devices make it possible to eas...

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Autores: Torres-Sanz, Vicente, Sangüesa, Julio A., Martinez, Francisco J., Garrido, Piedad, Tavares De Araujo Cesariny Calafate, Carlos Miguel|||0000-0001-5729-3041
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:dnet:riunet______::b9abea1ce3dbada61db5b7d92e207d65
Acceso en línea:https://riunet.upv.es/handle/10251/234036
Access Level:acceso abierto
Palabra clave:IoT and mobile communications
Networks and telematics
08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos
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spelling An autoconfiguration strategy for very large scale long range wide area network deployments in smart citiesTorres-Sanz, VicenteSangüesa, Julio A.Martinez, Francisco J.Garrido, PiedadTavares De Araujo Cesariny Calafate, Carlos Miguel|||0000-0001-5729-3041IoT and mobile communicationsNetworks and telematics08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos[EN] LoRa has proven to be an ideal solution for Internet of Things networks and applications that require long-distance communications, such as those related to smart cities or precision agriculture. Its low cost combined with the wide availability of LoRa-compatible devices make it possible to easily deploy a large number of sensors capable of collecting and transmitting key information for new services and applications. However, the process of adding new devices into a Long Range Wide Area Network (LoRaWAN) network represents a significant challenge on a large scale, as each device must be individually configured and manually registered to join the network. This manual approach is costly and impractical when it comes to deploying a very large number of devices. To address this problem, this paper proposes two deployment strategies (semi-automatic and automatic) to simplify and streamline the process of activating and registering LoRaWAN devices. These strategies facilitate the deployment of large-scale devices in smart cities, and their adoption can significantly enhance the deployment of LoRaWAN devices. Experimental results clearly demonstrate the benefits of our solution. Specifically, for 500 devices, the semi-automatic deployment is 3.75 times more efficient, and the automatic deployment is an impressive 394.87 times faster than the manual deployment.Government of Aragon and the European Social Fund "Construyendo Europadesde Aragon",Grant/Award Number: T40 23D; MCIN/AEI/10.13039/501100011033and 'ERDFA way of making Europe', Grant/Award Number: PID2021-122580NB-I00;National Cybersecurity Institute, Grant/Award Number: C077/23.Institution of Engineering and TechnologyDepartamento de Informática de Sistemas y ComputadoresEscuela Técnica Superior de Ingeniería InformáticaGrupo de Redes de ComputadoresGobierno de AragónAGENCIA ESTATAL DE INVESTIGACIONEuropean Regional Development FundInstituto Nacional de CiberseguridadRepositorio Institucional de la Universitat Politècnica de València Riunet20252025-01-24journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/234036reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-122580NB-I00 SISTEMAS INTELIGENTES DE SENSORIZACION PARA ECOSISTEMAS, ESPACIOS URBANOS Y MOVILIDAD SOSTENIBLEGobierno de Aragón http://dx.doi.org/10.13039/501100010067 T40_23DInstituto Nacional de Ciberseguridad https://doi.org/10.13039/501100013410 C077%2F23open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial (by-nc) http://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccessoai:dnet:riunet______::b9abea1ce3dbada61db5b7d92e207d652026-06-13T07:49:27Z
dc.title.none.fl_str_mv An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
title An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
spellingShingle An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
Torres-Sanz, Vicente
IoT and mobile communications
Networks and telematics
08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos
title_short An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
title_full An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
title_fullStr An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
title_full_unstemmed An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
title_sort An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
dc.creator.none.fl_str_mv Torres-Sanz, Vicente
Sangüesa, Julio A.
Martinez, Francisco J.
Garrido, Piedad
Tavares De Araujo Cesariny Calafate, Carlos Miguel|||0000-0001-5729-3041
author Torres-Sanz, Vicente
author_facet Torres-Sanz, Vicente
Sangüesa, Julio A.
Martinez, Francisco J.
Garrido, Piedad
Tavares De Araujo Cesariny Calafate, Carlos Miguel|||0000-0001-5729-3041
author_role author
author2 Sangüesa, Julio A.
Martinez, Francisco J.
Garrido, Piedad
Tavares De Araujo Cesariny Calafate, Carlos Miguel|||0000-0001-5729-3041
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Departamento de Informática de Sistemas y Computadores
Escuela Técnica Superior de Ingeniería Informática
Grupo de Redes de Computadores
Gobierno de Aragón
AGENCIA ESTATAL DE INVESTIGACION
European Regional Development Fund
Instituto Nacional de Ciberseguridad
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv IoT and mobile communications
Networks and telematics
08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos
topic IoT and mobile communications
Networks and telematics
08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos
description [EN] LoRa has proven to be an ideal solution for Internet of Things networks and applications that require long-distance communications, such as those related to smart cities or precision agriculture. Its low cost combined with the wide availability of LoRa-compatible devices make it possible to easily deploy a large number of sensors capable of collecting and transmitting key information for new services and applications. However, the process of adding new devices into a Long Range Wide Area Network (LoRaWAN) network represents a significant challenge on a large scale, as each device must be individually configured and manually registered to join the network. This manual approach is costly and impractical when it comes to deploying a very large number of devices. To address this problem, this paper proposes two deployment strategies (semi-automatic and automatic) to simplify and streamline the process of activating and registering LoRaWAN devices. These strategies facilitate the deployment of large-scale devices in smart cities, and their adoption can significantly enhance the deployment of LoRaWAN devices. Experimental results clearly demonstrate the benefits of our solution. Specifically, for 500 devices, the semi-automatic deployment is 3.75 times more efficient, and the automatic deployment is an impressive 394.87 times faster than the manual deployment.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-24
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/234036
url https://riunet.upv.es/handle/10251/234036
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023 PID2021-122580NB-I00 SISTEMAS INTELIGENTES DE SENSORIZACION PARA ECOSISTEMAS, ESPACIOS URBANOS Y MOVILIDAD SOSTENIBLE
Gobierno de Aragón http://dx.doi.org/10.13039/501100010067 T40_23D
Instituto Nacional de Ciberseguridad https://doi.org/10.13039/501100013410 C077%2F23
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial (by-nc)
http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial (by-nc)
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Institution of Engineering and Technology
publisher.none.fl_str_mv Institution of Engineering and Technology
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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