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.

Quete B., Heideker A., Ivan Dimitry Ribeiro Zyrianoff, Ottolini D., Kleinschmidt J.H., Soininen J.-P., et al. (2020). Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation. 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroAgriFor50201.2020.9277566].

Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation

Heideker A.;Ivan Dimitry Ribeiro Zyrianoff;
2020

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.
2020
2020 IEEE International Workshop on Metrology for Agriculture and Forestry, MetroAgriFor 2020 - Proceedings
73
77
Quete B., Heideker A., Ivan Dimitry Ribeiro Zyrianoff, Ottolini D., Kleinschmidt J.H., Soininen J.-P., et al. (2020). Understanding the tradeoffs of LoRaWAN for IoT-based Smart Irrigation. 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/MetroAgriFor50201.2020.9277566].
Quete B.; Heideker A.; Ivan Dimitry Ribeiro Zyrianoff; Ottolini D.; Kleinschmidt J.H.; Soininen J.-P.; Kamienski C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/970955
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