LoRaWAN Behaviour Analysis through Dataset Traffic Investigation

The large development of Internet of Things technologies is increasing the use of smart-devices to solve and support several real-life issues. In many cases, the aim is to move toward systems that, even if significant demands are not required in terms of quantity of exchanged data, they should be ve...

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發表在:Sensors
Main Authors: Pietro Spadaccino, Francesco Giuseppe Crinó, Francesca Cuomo
格式: Article
語言:英语
出版: MDPI AG 2022-03-01
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在線閱讀:https://www.mdpi.com/1424-8220/22/7/2470
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author Pietro Spadaccino
Francesco Giuseppe Crinó
Francesca Cuomo
author_facet Pietro Spadaccino
Francesco Giuseppe Crinó
Francesca Cuomo
author_sort Pietro Spadaccino
collection DOAJ
container_title Sensors
description The large development of Internet of Things technologies is increasing the use of smart-devices to solve and support several real-life issues. In many cases, the aim is to move toward systems that, even if significant demands are not required in terms of quantity of exchanged data, they should be very reliable in terms of battery life and signal coverage. Networks that have these characteristics are the Low Power WAN (LPWAN). One of the most interesting LPWAN is LoRaWAN. LoRaWAN is a network with four principal components: end-devices, gateways, network servers, and application servers. It uses a LoRa physical layer to exchange messages between end-devices and gateways that forward these messages, through classic TCP/IP protocol, to the network server. In this work, we analyse LoRa and LoRaWAN by looking at its transmission characteristics and network behaviour, respectively, explaining the role of its components and showing the message exchange. This analysis is performed through the exploration of a dataset taken from the literature collecting real LoRaWAN packets. The goal of the work is twofold: (1) to investigate, under different perspectives, how a LoRaWAN works and (2) to provide software tools that can be used in several other LoraWAN datasets to measure the network behaviour. We carry out six different analyses to look at the most important features of LoRaWAN. For each analysis we present the adopted measurement strategy as well as the obtained results in the specific use case.
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spelling doaj-art-2e16ae85ca06414bbcc604d9745b6d4f2025-08-19T21:56:12ZengMDPI AGSensors1424-82202022-03-01227247010.3390/s22072470LoRaWAN Behaviour Analysis through Dataset Traffic InvestigationPietro Spadaccino0Francesco Giuseppe Crinó1Francesca Cuomo2DIET, Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyDepartment of Computer, Control and Management Engineering, Sapienza University of Rome, 00185 Rome, ItalyDIET, Department of Information Engineering, Electronics and Telecommunications, Sapienza University of Rome, 00184 Rome, ItalyThe large development of Internet of Things technologies is increasing the use of smart-devices to solve and support several real-life issues. In many cases, the aim is to move toward systems that, even if significant demands are not required in terms of quantity of exchanged data, they should be very reliable in terms of battery life and signal coverage. Networks that have these characteristics are the Low Power WAN (LPWAN). One of the most interesting LPWAN is LoRaWAN. LoRaWAN is a network with four principal components: end-devices, gateways, network servers, and application servers. It uses a LoRa physical layer to exchange messages between end-devices and gateways that forward these messages, through classic TCP/IP protocol, to the network server. In this work, we analyse LoRa and LoRaWAN by looking at its transmission characteristics and network behaviour, respectively, explaining the role of its components and showing the message exchange. This analysis is performed through the exploration of a dataset taken from the literature collecting real LoRaWAN packets. The goal of the work is twofold: (1) to investigate, under different perspectives, how a LoRaWAN works and (2) to provide software tools that can be used in several other LoraWAN datasets to measure the network behaviour. We carry out six different analyses to look at the most important features of LoRaWAN. For each analysis we present the adopted measurement strategy as well as the obtained results in the specific use case.https://www.mdpi.com/1424-8220/22/7/2470LPWANLoRALoRaWANperformance analysis
spellingShingle Pietro Spadaccino
Francesco Giuseppe Crinó
Francesca Cuomo
LoRaWAN Behaviour Analysis through Dataset Traffic Investigation
LPWAN
LoRA
LoRaWAN
performance analysis
title LoRaWAN Behaviour Analysis through Dataset Traffic Investigation
title_full LoRaWAN Behaviour Analysis through Dataset Traffic Investigation
title_fullStr LoRaWAN Behaviour Analysis through Dataset Traffic Investigation
title_full_unstemmed LoRaWAN Behaviour Analysis through Dataset Traffic Investigation
title_short LoRaWAN Behaviour Analysis through Dataset Traffic Investigation
title_sort lorawan behaviour analysis through dataset traffic investigation
topic LPWAN
LoRA
LoRaWAN
performance analysis
url https://www.mdpi.com/1424-8220/22/7/2470
work_keys_str_mv AT pietrospadaccino lorawanbehaviouranalysisthroughdatasettrafficinvestigation
AT francescogiuseppecrino lorawanbehaviouranalysisthroughdatasettrafficinvestigation
AT francescacuomo lorawanbehaviouranalysisthroughdatasettrafficinvestigation