Auto-Handover Gateway LoRaWAN based on Autonomous Vehicles

This article presents a simulation study on the use of LoRaWAN technology in autonomous vehicles. The research focuses on developing an Auto-Handover Gateway for Autonomous Vehicles, utilizing LoRaWAN parameters such as bit rates, spreading factor (SF), packet loss, and received signal strength. These parameters are tested in simulations of autonomous vehicle movements, which include both regular and random motion patterns. The aim is to assess the performance of LoRaWAN in different scenarios and its impact on communication in autonomous vehicle systems. The simulation results show several key trends. As the vehicle moves further, the spreading factor (SF) increases, and bit rates tend to decrease, indicating a drop in communication performance over longer distances. The research also identifies that the gateway with the closest proximity to the vehicle is selected, both in random and non-random movement scenarios. Additionally, packet loss increases as the distance between the vehicle and the gateway grows, highlighting the challenges of maintaining reliable communication over long distances. These findings provide insights into optimizing LoRaWAN parameters for real-time communication in autonomous vehicles, contributing to the development of intelligent vehicle networks.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/itis64716.2024.10845661
Citations
2
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.42
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article

Auto-Handover Gateway LoRaWAN based on Autonomous Vehicles

Iwan Purnama, Puput Dani Prasetyo Adi, Edi Firman, Rahmadani Pane et al.
2 citations
IoT Networks and Protocols
0.42
article

Auto-Handover Gateway LoRaWAN based on Autonomous Vehicles

Iwan Purnama, Puput Dani Prasetyo Adi, Edi Firman, Rahmadani Pane, Adri Gabriel Sooai, Ahmad Abdul Chamid
article en
2 citations

Abstract

This article presents a simulation study on the use of LoRaWAN technology in autonomous vehicles. The research focuses on developing an Auto-Handover Gateway for Autonomous Vehicles, utilizing LoRaWAN parameters such as bit rates, spreading factor (SF), packet loss, and received signal strength. These parameters are tested in simulations of autonomous vehicle movements, which include both regular and random motion patterns. The aim is to assess the performance of LoRaWAN in different scenarios and its impact on communication in autonomous vehicle systems. The simulation results show several key trends. As the vehicle moves further, the spreading factor (SF) increases, and bit rates tend to decrease, indicating a drop in communication performance over longer distances. The research also identifies that the gateway with the closest proximity to the vehicle is selected, both in random and non-random movement scenarios. Additionally, packet loss increases as the distance between the vehicle and the gateway grows, highlighting the challenges of maintaining reliable communication over long distances. These findings provide insights into optimizing LoRaWAN parameters for real-time communication in autonomous vehicles, contributing to the development of intelligent vehicle networks.

Universitas Al-washliyah Labuhanbatu (ID), Universitas Batam (ID), Universitas Katolik Widya Mandira (ID), Muria Kudus University (ID), National Research and Innovation Agency (ID), Universitas Labuhanbatu (ID)
Openalex Percentile: Top 35%
IoT Networks and Protocols
0.42
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Auto-Handover Gateway LoRaWAN based on Autonomous Vehicles — Iwan Purnama, Puput Dani Prasetyo Adi, et al. · (2024) | TGRS Research Map | TGRS