000150707 001__ 150707
000150707 005__ 20251017144642.0
000150707 0247_ $$2doi$$a10.1049/smc2.12096
000150707 0248_ $$2sideral$$a142721
000150707 037__ $$aART-2025-142721
000150707 041__ $$aeng
000150707 100__ $$0(orcid)0000-0002-0787-2667$$aTorres-Sanz, Vicente$$uUniversidad de Zaragoza
000150707 245__ $$aAn autoconfiguration strategy for very large scale long range wide area network deployments in smart cities
000150707 260__ $$c2025
000150707 5060_ $$aAccess copy available to the general public$$fUnrestricted
000150707 5203_ $$aLoRa 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.
000150707 536__ $$9info:eu-repo/grantAgreement/ES/MCINN/AEI/PID2021-122580NB-I00$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T40_23D
000150707 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc$$uhttps://creativecommons.org/licenses/by-nc/4.0/deed.es
000150707 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000150707 700__ $$0(orcid)0000-0001-7657-0075$$aSangüesa, Julio A.$$uUniversidad de Zaragoza
000150707 700__ $$0(orcid)0000-0001-6945-7330$$aMartínez, Francisco J.$$uUniversidad de Zaragoza
000150707 700__ $$0(orcid)0000-0002-1750-7225$$aGarrido, Piedad$$uUniversidad de Zaragoza
000150707 700__ $$aCalafate, Carlos T.
000150707 7102_ $$15007$$2035$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Arquit.Tecnología Comput.
000150707 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000150707 773__ $$g7, 1 (2025), e12096 [20 pp.]$$tIET Smart Cities$$x2631-7680
000150707 8564_ $$s2716849$$uhttps://zaguan.unizar.es/record/150707/files/texto_completo.pdf$$yVersión publicada
000150707 8564_ $$s2402343$$uhttps://zaguan.unizar.es/record/150707/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000150707 909CO $$ooai:zaguan.unizar.es:150707$$particulos$$pdriver
000150707 951__ $$a2025-10-17-14:32:24
000150707 980__ $$aARTICLE