Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Field Application of Global Positioning System01:28

Field Application of Global Positioning System

45
The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
45

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Two-Step Sensor Fusion Methodology to Assess Damage on Drone Propellers by Audio and Radar Measurements.

Sensors (Basel, Switzerland)·2026
Same author

Sleep Posture Detection via Embedded Machine Learning on a Reduced Set of Pressure Sensors.

Sensors (Basel, Switzerland)·2025
Same author

Piezoelectric Sensors as Energy Harvesters for Ultra Low-Power IoT Applications.

Sensors (Basel, Switzerland)·2024
Same author

LoRaWAN Transmissions in Salt Water for Superficial Marine Sensor Networking: Laboratory and Field Tests.

Sensors (Basel, Switzerland)·2023
Same author

Mobility Classification of LoRaWAN Nodes Using Machine Learning at Network Level.

Sensors (Basel, Switzerland)·2023
Same author

Estimating Volumetric Water Content in Soil for IoUT Contexts by Exploiting RSSI-Based Augmented Sensors via Machine Learning.

Sensors (Basel, Switzerland)·2023

Related Experiment Video

Updated: Jun 29, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.3K

LoRaWAN for Vehicular Networking: Field Tests for Vehicle-to-Roadside Communication.

Gabriele Di Renzone1, Stefano Parrino2, Giacomo Peruzzi3

  • 1Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.

Sensors (Basel, Switzerland)
|March 28, 2024
PubMed
Summary

This study assesses Long-Range Wide-Area Network (LoRaWAN) for vehicular connectivity. Results show LoRaWAN is feasible for vehicle networks, with performance minimally impacted by speed and Doppler effect.

Keywords:
IoTLoRaWANtransmission performance analysisvehicular wireless networkswireless links in motion

More Related Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K

Related Experiment Videos

Last Updated: Jun 29, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
14:55

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

3.3K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.0K
Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research
07:15

Tactile Vibrating Toolkit and Driving Simulation Platform for Driving-Related Research

Published on: December 18, 2020

4.5K

Area of Science:

  • Wireless Communication
  • Internet of Things (IoT)
  • Automotive Technology

Background:

  • Vehicular wireless networks are crucial for automotive monitoring.
  • Internet of Things (IoT) solutions enable vehicle data collection.
  • Cellular and non-cellular technologies offer different trade-offs in latency and cost.

Purpose of the Study:

  • To evaluate the performance of Long-Range Wide-Area Network (LoRaWAN) for vehicular connectivity.
  • To assess LoRaWAN's suitability as an enabling technology for in-vehicle networks.
  • To analyze packet loss and RSSI under various vehicular conditions.

Main Methods:

  • Conducted two measurement campaigns using LoRaWAN.
  • Tested scenarios included a motorbike on a track and a car on a road.
  • Evaluated performance across different vehicle speeds and LoRaWAN spreading factors (SFs).

Main Results:

  • Packet loss (PL) and Received Signal Strength Indicator (RSSI) were key performance metrics.
  • Doppler effect showed marginal influence on LoRaWAN receiving performance.
  • Overall performance was not significantly affected by vehicle speed.

Conclusions:

  • LoRaWAN demonstrates feasibility for vehicular network applications.
  • The protocol offers a cost-effective alternative for quasi-real-time vehicular data.
  • LoRaWAN is a viable option for enhancing automotive connectivity.