Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation

Bruno Quete; Alexandre Heideker; Ivan Zyrianoff; Dener Ottolini; Joao Henrique Kleinschmidt; Juha Pekka Soininen; Carlos Kamienski

doi:10.1109/MetroAgriFor50201.2020.9277566

Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation

Bruno Quete, Alexandre Heideker, Ivan Zyrianoff, Dener Ottolini, Joao Henrique Kleinschmidt, Juha Pekka Soininen, Carlos Kamienski

Universidade Federal do ABC

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

8 Citations (Scopus)

Abstract

As LoRaWAN has been increasingly used in the Internet of Things (IoT) smart agriculture, efficacious deployments of this technology need a clear understanding of its performance and scalability tradeoffs. This paper proposes a two-step methodology to evaluate the performance of LoRaWAN based on simulation for understanding the behavior of the air interface and measurement for understanding the behavior of the IoT Platform. We conducted a performance analysis study in a smart irrigation scenario, varying the distance from sensors to the gateway, the sensor density (number of sensors), and the LoRaWAN spreading factor. Our results show that the LoRa air interface poses the most stringent scalability limits, mainly related to the number of sensors actively transmitting from a farm parcel to the gateway. The IoT Platform adds some delay but does not notably interfere with the overall performance of the solution.

Original language	English
Title of host publication	2020 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 - Proceedings
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	73-77
ISBN (Electronic)	978-1-7281-8783-9
ISBN (Print)	978-1-7281-8784-6
DOIs	https://doi.org/10.1109/MetroAgriFor50201.2020.9277566
Publication status	Published - 8 Dec 2020
MoE publication type	A4 Article in a conference publication
Event	3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020: Online - Virtual, Trento, Italy Duration: 4 Nov 2020 → 6 Nov 2020

Conference

Conference	3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020
Country/Territory	Italy
City	Trento
Period	4/11/20 → 6/11/20

Funding

ACKNOWLEDGMENT Research supported by the SWAMP Project [6], funded by RNP/MCTI in Brazil and the European Commission.

Keywords

IoT
LoRaWAN
Performance
Smart Irrigation

UN SDGs

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

Access to Document

10.1109/MetroAgriFor50201.2020.9277566

Cite this

Quete, B., Heideker, A., Zyrianoff, I., Ottolini, D., Kleinschmidt, J. H., Soininen, J. P., & Kamienski, C. (2020). Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation. In 2020 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 - Proceedings (pp. 73-77). Article 9277566 IEEE Institute of Electrical and Electronic Engineers. https://doi.org/10.1109/MetroAgriFor50201.2020.9277566

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title = "Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation",

abstract = "As LoRaWAN has been increasingly used in the Internet of Things (IoT) smart agriculture, efficacious deployments of this technology need a clear understanding of its performance and scalability tradeoffs. This paper proposes a two-step methodology to evaluate the performance of LoRaWAN based on simulation for understanding the behavior of the air interface and measurement for understanding the behavior of the IoT Platform. We conducted a performance analysis study in a smart irrigation scenario, varying the distance from sensors to the gateway, the sensor density (number of sensors), and the LoRaWAN spreading factor. Our results show that the LoRa air interface poses the most stringent scalability limits, mainly related to the number of sensors actively transmitting from a farm parcel to the gateway. The IoT Platform adds some delay but does not notably interfere with the overall performance of the solution.",

keywords = "IoT, LoRaWAN, Performance, Smart Irrigation",

author = "Bruno Quete and Alexandre Heideker and Ivan Zyrianoff and Dener Ottolini and Kleinschmidt, {Joao Henrique} and Soininen, {Juha Pekka} and Carlos Kamienski",

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Quete, B, Heideker, A, Zyrianoff, I, Ottolini, D, Kleinschmidt, JH, Soininen, JP & Kamienski, C 2020, Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation. in 2020 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 - Proceedings., 9277566, IEEE Institute of Electrical and Electronic Engineers, pp. 73-77, 3rd IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020, Trento, Italy, 4/11/20. https://doi.org/10.1109/MetroAgriFor50201.2020.9277566

Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation. / Quete, Bruno; Heideker, Alexandre; Zyrianoff, Ivan et al.
2020 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 - Proceedings. IEEE Institute of Electrical and Electronic Engineers, 2020. p. 73-77 9277566.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation

AU - Quete, Bruno

AU - Heideker, Alexandre

AU - Zyrianoff, Ivan

AU - Ottolini, Dener

AU - Kleinschmidt, Joao Henrique

AU - Soininen, Juha Pekka

AU - Kamienski, Carlos

PY - 2020/12/8

Y1 - 2020/12/8

N2 - As LoRaWAN has been increasingly used in the Internet of Things (IoT) smart agriculture, efficacious deployments of this technology need a clear understanding of its performance and scalability tradeoffs. This paper proposes a two-step methodology to evaluate the performance of LoRaWAN based on simulation for understanding the behavior of the air interface and measurement for understanding the behavior of the IoT Platform. We conducted a performance analysis study in a smart irrigation scenario, varying the distance from sensors to the gateway, the sensor density (number of sensors), and the LoRaWAN spreading factor. Our results show that the LoRa air interface poses the most stringent scalability limits, mainly related to the number of sensors actively transmitting from a farm parcel to the gateway. The IoT Platform adds some delay but does not notably interfere with the overall performance of the solution.

AB - As LoRaWAN has been increasingly used in the Internet of Things (IoT) smart agriculture, efficacious deployments of this technology need a clear understanding of its performance and scalability tradeoffs. This paper proposes a two-step methodology to evaluate the performance of LoRaWAN based on simulation for understanding the behavior of the air interface and measurement for understanding the behavior of the IoT Platform. We conducted a performance analysis study in a smart irrigation scenario, varying the distance from sensors to the gateway, the sensor density (number of sensors), and the LoRaWAN spreading factor. Our results show that the LoRa air interface poses the most stringent scalability limits, mainly related to the number of sensors actively transmitting from a farm parcel to the gateway. The IoT Platform adds some delay but does not notably interfere with the overall performance of the solution.

KW - IoT

KW - LoRaWAN

KW - Performance

KW - Smart Irrigation

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ER -

Quete B, Heideker A, Zyrianoff I, Ottolini D, Kleinschmidt JH, Soininen JP et al. Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation. In 2020 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 - Proceedings. IEEE Institute of Electrical and Electronic Engineers. 2020. p. 73-77. 9277566 doi: 10.1109/MetroAgriFor50201.2020.9277566

Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation

Abstract

Conference

Funding

Keywords

UN SDGs

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