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

doi:10.1109/CAFE58535.2023.10291369

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

Department of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	147-151
Number of pages	5
ISBN (Electronic)	9798350327113
DOIs	https://doi.org/10.1109/CAFE58535.2023.10291369
State	Published - 2023
Event	1st IEEE Conference on AgriFood Electronics, CAFE 2023 - Torino, Italy Duration: 25 Sep 2023 → 27 Sep 2023

Publication series

Name	2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings

Conference

Conference	1st IEEE Conference on AgriFood Electronics, CAFE 2023
Country/Territory	Italy
City	Torino
Period	25/09/23 → 27/09/23

Keywords

IoT
LPWAN
LoRaWAN
agribusiness
wireless network

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/CAFE58535.2023.10291369

Cite this

Arnaud, A., Araújo, M. E., Dagnino, A., Gak, J., Jimenz, A., Flores, J. J., Miguez, M., & Soriano, L. A. (2023). A Model for a Dense LoRaWAN Network in the Agribusiness. In 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings (pp. 147-151). (2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAFE58535.2023.10291369

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title = "A Model for a Dense LoRaWAN Network in the Agribusiness",

abstract = "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.",

keywords = "IoT, LPWAN, LoRaWAN, agribusiness, wireless network",

author = "Alfredo Arnaud and Ara{\'u}jo, {Mar{\'i}a Eugenia} and Ariel Dagnino and Joel Gak and Aar{\'o}n Jimenz and Flores, {Jos{\'e} Job} and Mat{\'i}as Miguez and Soriano, {Luis Arturo}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 1st IEEE Conference on AgriFood Electronics, CAFE 2023 ; Conference date: 25-09-2023 Through 27-09-2023",

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doi = "10.1109/CAFE58535.2023.10291369",

language = "Ingl{\'e}s",

series = "2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings",

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Arnaud, A, Araújo, ME, Dagnino, A, Gak, J, Jimenz, A, Flores, JJ, Miguez, M & Soriano, LA 2023, A Model for a Dense LoRaWAN Network in the Agribusiness. in 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings. 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 147-151, 1st IEEE Conference on AgriFood Electronics, CAFE 2023, Torino, Italy, 25/09/23. https://doi.org/10.1109/CAFE58535.2023.10291369

A Model for a Dense LoRaWAN Network in the Agribusiness. / Arnaud, Alfredo; Araújo, María Eugenia; Dagnino, Ariel et al.
2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 147-151 (2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Model for a Dense LoRaWAN Network in the Agribusiness

AU - Arnaud, Alfredo

AU - Araújo, María Eugenia

AU - Dagnino, Ariel

AU - Gak, Joel

AU - Jimenz, Aarón

AU - Flores, José Job

AU - Miguez, Matías

AU - Soriano, Luis Arturo

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - IoT

KW - LPWAN

KW - LoRaWAN

KW - agribusiness

KW - wireless network

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U2 - 10.1109/CAFE58535.2023.10291369

DO - 10.1109/CAFE58535.2023.10291369

M3 - Contribución a la conferencia

AN - SCOPUS:85178565609

T3 - 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings

SP - 147

EP - 151

BT - 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st IEEE Conference on AgriFood Electronics, CAFE 2023

Y2 - 25 September 2023 through 27 September 2023

ER -

Arnaud A, Araújo ME, Dagnino A, Gak J, Jimenz A, Flores JJ et al. A Model for a Dense LoRaWAN Network in the Agribusiness. In 2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. p. 147-151. (2023 IEEE Conference on AgriFood Electronics, CAFE 2023 - Proceedings). doi: 10.1109/CAFE58535.2023.10291369

A Model for a Dense LoRaWAN Network in the Agribusiness

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

NEON: Network of Competence on Internet of Things

Cite this

A Model for a Dense LoRaWAN Network in the Agribusiness

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

NEON: Network of Competence on Internet of Things

Cite this