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Analysis of the Influence of Terrain on LoRaWAN-based IoT Deployments

Published: 30 October 2023 Publication History

Abstract

Long Range Wide Area Network (LoRaWAN) is a network protocol specifically designed to leverage the advantages of Long Range technology. LoRaWAN is employed to connect Internet of Things devices through a long-range network infrastructure, providing a secure and efficient communication layer that facilitates connectivity for a vast number of devices in a LoRa network. The aim of this study is to assess the real-life performance of LoRaWAN in different topographical environments. In particular, two scenarios (one flat and one mountainous) are compared, with an analysis of the success rate in data packet reception. The purpose is to examine how topography influences communication between LoRa devices and gateways, as well as to explore alternatives for overcoming challenges in rugged terrain environments. Therefore, in the mountainous environment, the study also investigates whether the use of drones could enhance communications. The findings of this study reveal that the topography of the terrain significantly impacts LoRa communications, resulting in a 58.63% decrease in the number of successfully received packets compared to a flat environment. Moreover, one-third of the nodes failed to establish communication with the ground gateway, and a partial improvement in connectivity was achieved by using gateways deployed on drones.

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Cited By

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  • (2024)Design and Implementation of a Novel UAV-Assisted LoRaWAN NetworkDrones10.3390/drones81005208:10(520)Online publication date: 25-Sep-2024
  • (2024)AutoLoRaConfig: Automated Registration Procedure for LoRaWAN Devices2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639651(1-7)Online publication date: 8-Oct-2024
  • (2024)Filling the Communication Gaps in Drone DeliveryICC 2024 - IEEE International Conference on Communications10.1109/ICC51166.2024.10622638(2604-2609)Online publication date: 9-Jun-2024
  • Show More Cited By

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cover image ACM Conferences
MSWiM '23: Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems
October 2023
330 pages
ISBN:9798400703669
DOI:10.1145/3616388
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 30 October 2023

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Author Tags

  1. iot
  2. lora
  3. lorawan
  4. topography
  5. uav

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  • Research-article

Funding Sources

  • Government of Aragn and the European Social Fund Construyendo Europa desde Aragn
  • R&D project PID2021-122580NB-I00 funded by MCIN
  • Grants for the development of research projects 2023 of the Antonio Gargallo Foundation.

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Cited By

View all
  • (2024)Design and Implementation of a Novel UAV-Assisted LoRaWAN NetworkDrones10.3390/drones81005208:10(520)Online publication date: 25-Sep-2024
  • (2024)AutoLoRaConfig: Automated Registration Procedure for LoRaWAN Devices2024 IEEE 49th Conference on Local Computer Networks (LCN)10.1109/LCN60385.2024.10639651(1-7)Online publication date: 8-Oct-2024
  • (2024)Filling the Communication Gaps in Drone DeliveryICC 2024 - IEEE International Conference on Communications10.1109/ICC51166.2024.10622638(2604-2609)Online publication date: 9-Jun-2024
  • (2024)Connecting Internet of Drones and Urban ComputingComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2023.110136239:COnline publication date: 12-Apr-2024

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