An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing

Internet of Things technologies open up new applications for remote monitoring of forests, fields, etc. These networks require autonomous operation: combining ultra-long-range connectivity with low energy consumption. While typical low-power wide-area networks offer long-range characteristics, they...

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Main Authors: Guus Leenders, Gilles Callebaut, Geoffrey Ottoy, Liesbet Van der Perre, Lieven De Strycker
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/11/4994
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author Guus Leenders
Gilles Callebaut
Geoffrey Ottoy
Liesbet Van der Perre
Lieven De Strycker
author_facet Guus Leenders
Gilles Callebaut
Geoffrey Ottoy
Liesbet Van der Perre
Lieven De Strycker
author_sort Guus Leenders
collection DOAJ
description Internet of Things technologies open up new applications for remote monitoring of forests, fields, etc. These networks require autonomous operation: combining ultra-long-range connectivity with low energy consumption. While typical low-power wide-area networks offer long-range characteristics, they fall short in providing coverage for environmental tracking in ultra-remote areas spanning hundreds of square kilometers. This paper presents a multi-hop protocol to extend the sensor’s range, whilst still enabling low-power operation: maximizing sleep time by employing prolonged preamble sampling, and minimizing the transmit energy per actual payload bit through forwarded data aggregation. Real-life experiments, as well as large-scale simulations, prove the capabilities of the proposed multi-hop network protocol. By employing prolonged preamble sampling a node’s lifespan can be increased to up to 4 years when transmitting packages every 6 h, a significant improvement compared to only 2 days when continuously listening for incoming packages. By aggregating forwarded data, a node is able to further reduce its energy consumption by up to 61%. The reliability of the network is proven: 90% of nodes achieve a packet delivery ratio of at least 70%. The employed hardware platform, network protocol stack and simulation framework for optimization are released in open access.
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spelling doaj.art-a6b7af4082e241c08ac1fc37fbf771d52023-11-18T08:31:04ZengMDPI AGSensors1424-82202023-05-012311499410.3390/s23114994An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote SensingGuus Leenders0Gilles Callebaut1Geoffrey Ottoy2Liesbet Van der Perre3Lieven De Strycker4Dramco, ESAT-WaveCore, KU Leuven, 9000 Ghent, BelgiumDramco, ESAT-WaveCore, KU Leuven, 9000 Ghent, BelgiumDramco, ESAT-WaveCore, KU Leuven, 9000 Ghent, BelgiumDramco, ESAT-WaveCore, KU Leuven, 9000 Ghent, BelgiumDramco, ESAT-WaveCore, KU Leuven, 9000 Ghent, BelgiumInternet of Things technologies open up new applications for remote monitoring of forests, fields, etc. These networks require autonomous operation: combining ultra-long-range connectivity with low energy consumption. While typical low-power wide-area networks offer long-range characteristics, they fall short in providing coverage for environmental tracking in ultra-remote areas spanning hundreds of square kilometers. This paper presents a multi-hop protocol to extend the sensor’s range, whilst still enabling low-power operation: maximizing sleep time by employing prolonged preamble sampling, and minimizing the transmit energy per actual payload bit through forwarded data aggregation. Real-life experiments, as well as large-scale simulations, prove the capabilities of the proposed multi-hop network protocol. By employing prolonged preamble sampling a node’s lifespan can be increased to up to 4 years when transmitting packages every 6 h, a significant improvement compared to only 2 days when continuously listening for incoming packages. By aggregating forwarded data, a node is able to further reduce its energy consumption by up to 61%. The reliability of the network is proven: 90% of nodes achieve a packet delivery ratio of at least 70%. The employed hardware platform, network protocol stack and simulation framework for optimization are released in open access.https://www.mdpi.com/1424-8220/23/11/4994energy efficiencyIoTLoRamulti-hop
spellingShingle Guus Leenders
Gilles Callebaut
Geoffrey Ottoy
Liesbet Van der Perre
Lieven De Strycker
An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing
Sensors
energy efficiency
IoT
LoRa
multi-hop
title An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing
title_full An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing
title_fullStr An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing
title_full_unstemmed An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing
title_short An Energy-Efficient LoRa Multi-Hop Protocol through Preamble Sampling for Remote Sensing
title_sort energy efficient lora multi hop protocol through preamble sampling for remote sensing
topic energy efficiency
IoT
LoRa
multi-hop
url https://www.mdpi.com/1424-8220/23/11/4994
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