Within the big picture of the Internet of Things (IoT) a brand new paradigm has risen since few years ago in the context of industrial scenarios: the Industrial Internet of Things (IIoT), whose aim is to transplant all of the features, characteristics and scopes of the IoT into industrial settings. The latter ones might be subject to a wide range of environmental conditions from the point of view of both temperature and relative humidity. Therefore, whenever their monitoring is performed by means of devoted infrastructures, such extreme working conditions must be born in mind during the pertaining design phases. Mostly, industrial monitoring is put into effect by resorting to wireless sensor networks enabled by Low Power Wide Area Network (LPWAN) techonologies. This set of facilities includes an ample heterogeneity of standards and techniques. However, the Long Range (LoRa) modulation and the LoRa Wide Area Network (LoRaWAN) protocol extensively proved to be reliable and robust alternatives. Thus, in this paper the variations of hardware performances of a LoRaWAN sensor node, in terms of transmission capabilities, due to the changes of temperature and relative humidity, which are typical of industrial processes, are investigated. To this end, a measurement campaign within a controlled environment (i.e., a climatic chamber) was sorted out, whose results show a physiological performances drop that neither undermine the network reliability, nor damage the sensor node electronics.

Di Renzone, G., Fort, A., Mugnaini, M., Peruzzi, G., Pozzebon, A., Vignoli, V. (2021). LoRaWAN Transmission System Capability Assessment in Industrial Environment under Temperature and Humidity Characterization. In Conference Record - IEEE Instrumentation and Measurement Technology Conference (pp.1-6). New York : Institute of Electrical and Electronics Engineers Inc. [10.1109/I2MTC50364.2021.9460076].

LoRaWAN Transmission System Capability Assessment in Industrial Environment under Temperature and Humidity Characterization

Di Renzone G.;Fort A.;Mugnaini M.;Peruzzi G.;Pozzebon A.;Vignoli V.
2021-01-01

Abstract

Within the big picture of the Internet of Things (IoT) a brand new paradigm has risen since few years ago in the context of industrial scenarios: the Industrial Internet of Things (IIoT), whose aim is to transplant all of the features, characteristics and scopes of the IoT into industrial settings. The latter ones might be subject to a wide range of environmental conditions from the point of view of both temperature and relative humidity. Therefore, whenever their monitoring is performed by means of devoted infrastructures, such extreme working conditions must be born in mind during the pertaining design phases. Mostly, industrial monitoring is put into effect by resorting to wireless sensor networks enabled by Low Power Wide Area Network (LPWAN) techonologies. This set of facilities includes an ample heterogeneity of standards and techniques. However, the Long Range (LoRa) modulation and the LoRa Wide Area Network (LoRaWAN) protocol extensively proved to be reliable and robust alternatives. Thus, in this paper the variations of hardware performances of a LoRaWAN sensor node, in terms of transmission capabilities, due to the changes of temperature and relative humidity, which are typical of industrial processes, are investigated. To this end, a measurement campaign within a controlled environment (i.e., a climatic chamber) was sorted out, whose results show a physiological performances drop that neither undermine the network reliability, nor damage the sensor node electronics.
2021
978-1-7281-9539-1
Di Renzone, G., Fort, A., Mugnaini, M., Peruzzi, G., Pozzebon, A., Vignoli, V. (2021). LoRaWAN Transmission System Capability Assessment in Industrial Environment under Temperature and Humidity Characterization. In Conference Record - IEEE Instrumentation and Measurement Technology Conference (pp.1-6). New York : Institute of Electrical and Electronics Engineers Inc. [10.1109/I2MTC50364.2021.9460076].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1173280