Improving the Reliability of Long-Range Communication against Interference for Non-Line-of-Sight Conditions in Industrial Internet of Things Applications
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Published:2024-01-19
Issue:2
Volume:14
Page:868
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ISSN:2076-3417
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Container-title:Applied Sciences
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language:en
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Short-container-title:Applied Sciences
Author:
Abdallah Boubaker123, Khriji Sabrine14ORCID, Chéour Rym23ORCID, Lahoud Charbel5, Moessner Klaus5ORCID, Kanoun Olfa1ORCID
Affiliation:
1. Professorship Measurement and Sensor Technology, Technische Universität Chemnitz, 09126 Chemnitz, Germany 2. Computer and Embedded Systems Laboratory, National Engineering School of Sfax, University of Sfax, Sfax 3038, Tunisia 3. Higher Institute of Applied Sciences and Technology of Kasserine, University of Kairouan, Kasserine 1200, Tunisia 4. Faculty of Sciences of Gabes, University of Gabes, Gabes 6072, Tunisia 5. Professorship Communications Engineering, Technische Universität Chemnitz, 09126 Chemnitz, Germany
Abstract
LoRa technology, renowned for its low-power, long-range capabilities in IoT applications, faces challenges in real-world scenarios, including fading channels, interference, and environmental obstacles. This paper aims to study the reliability of LoRa in Non-Line-of-Sight (NLoS) conditions and in noisy and mobile environments for Industrial IoT (IIoT) applications. Experimental measurements consider factors like vegetation and infrastructure, introducing mobility to replicate NLoS conditions. Utilizing an open-source LoRa Physical Layer (PHY) Software-Defined Radio (SDR) prototype developed with GNU Radio, we assess communication reliability through metrics such as Block Error Rate (BLER), Signal-to-Noise-Interference-plus-Noise Ratio (SINR), and data rate. The study reveals the estimated overall reliability of the LoRa signal at 90.23%, emphasizing specific configuration details. This work contributes to the broader field of LoRa communication, encompassing hardware, software, protocols, and management, enhancing our understanding of LoRa’s dependability in challenging IIoT environments.
Funder
Wandel durch Innovation in der Region (WIR)!—Change through Innovation in the Region
Subject
Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science
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