On the Scalability and Coverage of LoRa Mesh for Monitoring Linear Infrastructure

This paper investigates the scalability and coverage of long range (LoRa) mesh networks deployed for monitoring linear infrastructure, such as railways and pipelines. Although the monitored infrastructure is linear, the network topology is a mesh. The study addresses the challenges posed by the scalability of such networks, considering constraints imposed by duty cycle regulations in license-free frequency bands, particularly within the European Union where a 1% duty cycle limitation exists. A deployment strategy is proposed to optimize the placement of LoRa mesh nodes along linear infrastructure. A comprehensive analysis of scalability and coverage yields their bounds, along with the condition necessary to achieve the upper bounds. To enhance scalability and coverage, a novel routing algorithm is proposed considering the number of hops and the received signal strength indicator. Additionally, a LoRa mesh simulator, LoRaMeshSim, is developed to validate the system analysis and evaluate the effectiveness of the proposed routing algorithm. The findings provide valuable insights into the practical deployment of LoRa mesh networks for monitoring linear infrastructure.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-04-22
DOI
https://doi.org/10.1109/tvt.2025.3563236
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Scalability and Coverage of LoRa Mesh for Monitoring Linear Infrastructure

Yusuf Sambo, Yu Chen, Oluwakayode Onireti, Muhammad Ali Imran et al.
IEEE Transactions on Vehicular Technology
IoT Networks and Protocols
article

On the Scalability and Coverage of LoRa Mesh for Monitoring Linear Infrastructure

Yusuf Sambo, Yu Chen, Oluwakayode Onireti, Muhammad Ali Imran, Shi Guo
article en

Abstract

This paper investigates the scalability and coverage of long range (LoRa) mesh networks deployed for monitoring linear infrastructure, such as railways and pipelines. Although the monitored infrastructure is linear, the network topology is a mesh. The study addresses the challenges posed by the scalability of such networks, considering constraints imposed by duty cycle regulations in license-free frequency bands, particularly within the European Union where a 1% duty cycle limitation exists. A deployment strategy is proposed to optimize the placement of LoRa mesh nodes along linear infrastructure. A comprehensive analysis of scalability and coverage yields their bounds, along with the condition necessary to achieve the upper bounds. To enhance scalability and coverage, a novel routing algorithm is proposed considering the number of hops and the received signal strength indicator. Additionally, a LoRa mesh simulator, LoRaMeshSim, is developed to validate the system analysis and evaluate the effectiveness of the proposed routing algorithm. The findings provide valuable insights into the practical deployment of LoRa mesh networks for monitoring linear infrastructure.

IEEE Transactions on Vehicular TechnologyVol. 74(9)
University of Strathclyde (GB), University of Glasgow (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 93%
IoT Networks and Protocols
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.