Nasir, H., Zaidi, S.A.R. orcid.org/0000-0003-1969-3727 and Robertson, I. (2024) Link Quality Analysis for Buried Pipeline Monitoring using LoRa. In: 2024 International Wireless Communications and Mobile Computing (IWCMC). 2024 International Wireless Communications and Mobile Computing (IWCMC), 27-31 May 2024, Ayia Napa, Cyprus. IEEE , pp. 555-560. ISBN 979-8-3503-6127-8
Abstract
This work focuses on the analysis of link quality in the context of monitoring buried pipelines using wireless underground sensor networks. The study examines three communication channels: pipe to ground, ground to pipe and in-pipe. The investigation considers factors such as burial depth and the material of the pipe. Various metrics, including received signal strength indicator, signal-to-noise ratio and packet delivery ratio, are observed and analyzed for all the communication channels. The experimental investigation conducted at a frequency of 868 MHz using LoRa technology reveals strong signal strength and reliable communication across the three communication channels.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | LoRa, underground, pipeline monitoring |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 12 Mar 2025 11:39 |
Last Modified: | 12 Mar 2025 11:39 |
Published Version: | https://ieeexplore.ieee.org/document/10592400 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/iwcmc61514.2024.10592400 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:224313 |