A Model for a Dense LoRaWAN Network in the Agribusiness

Alfredo Arnaud, María Eugenia Araújo, Ariel Dagnino, Joel Gak, Aarón Jimenz, José Job Flores, Matías Miguez, Luis Arturo Soriano

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1 Cita (Scopus)

Resumen

In this work the modeling, simulation, and first experimental measurements of a LoRaWAN network for the agrifood industry is presented. Firstly, the network is modeled for a farm of the future with as many sensors as would be useful, for the 4 main productive chains in Uruguay: livestock, timber, agriculture, and dairy industries. To this end, a survey of commercial sensors was carried out, a few farms were visited, and managers and partners in agro-companies were interviewed. A LoRaWAN network with a single Gateway was simulated to estimate the efficiency (related to data-packets lost), for example in the case of a 1,000-ha cattle field with more than 1,500 sensors and some cameras sharing the network. Finally, the efficiency was measured, using 40 LoRa modules @915MHz, transmitting pseudo-random to emulate up to thousands of LoRa sensors. The simulated and measured results are very similar, reaching >92% efficiency in all cases. Additionally, energy consumption and transmission distance measurements of the Lora modules are presented to corroborate they fit the requirements of IoT in agribusiness.

Idioma originalInglés
Título de la publicación alojada2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas147-151
Número de páginas5
ISBN (versión digital)9798350327113
DOI
EstadoPublicada - 2023
Evento1st IEEE Conference on AgriFood Electronics, CAFE 2023 - Torino
Duración: 25 set. 202327 set. 2023

Serie de la publicación

Nombre2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings

Conferencia

Conferencia1st IEEE Conference on AgriFood Electronics, CAFE 2023
País/TerritorioItaly
CiudadTorino
Período25/09/2327/09/23

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