An autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
Torres-Sanz, Vicente (Universidad de Zaragoza) ; Sangüesa, Julio A. (Universidad de Zaragoza) ; Martínez, Francisco J. (Universidad de Zaragoza) ; Garrido, Piedad (Universidad de Zaragoza) ; Calafate, Carlos T.
Resumen: 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.
Idioma: Inglés
DOI: 10.1049/smc2.12096
Año: 2025
Publicado en: IET Smart Cities 7, 1 (2025), e12096 [20 pp.]
ISSN: 2631-7680
Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T40-23D
Financiación: info:eu-repo/grantAgreement/ES/MCINN/AEI/PID2021-122580NB-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Arquit.Tecnología Comput. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes.
Exportado de SIDERAL (2026-01-27-15:07:28)
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Idioma: Inglés
DOI: 10.1049/smc2.12096
Año: 2025
Publicado en: IET Smart Cities 7, 1 (2025), e12096 [20 pp.]
ISSN: 2631-7680
Financiación: info:eu-repo/grantAgreement/ES/DGA-FSE/T40-23D
Financiación: info:eu-repo/grantAgreement/ES/MCINN/AEI/PID2021-122580NB-I00
Tipo y forma: Article (Published version)
Área (Departamento): Área Arquit.Tecnología Comput. (Dpto. Informát.Ingenie.Sistms.)
Área (Departamento): Área Lenguajes y Sistemas Inf. (Dpto. Informát.Ingenie.Sistms.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. Exportado de SIDERAL (2026-01-27-15:07:28)
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Articles > Artículos por área > Arquitectura y Tecnología de Computadores
Articles > Artículos por área > Lenguajes y Sistemas Informáticos
Record created 2025-02-14, last modified 2026-01-27