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Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways
LoRaWAN has imposed itself as a promising and suitable technology for massive machine-type communications. With the acceleration of deployment, improving the energy efficiency of LoRaWAN networks has become paramount, especially with the limitations of throughput and battery resources. However, LoRa...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256030/ https://www.ncbi.nlm.nih.gov/pubmed/37300039 http://dx.doi.org/10.3390/s23115315 |
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author | Loubany, Ali Lahoud, Samer Samhat, Abed Ellatif El Helou, Melhem |
author_facet | Loubany, Ali Lahoud, Samer Samhat, Abed Ellatif El Helou, Melhem |
author_sort | Loubany, Ali |
collection | PubMed |
description | LoRaWAN has imposed itself as a promising and suitable technology for massive machine-type communications. With the acceleration of deployment, improving the energy efficiency of LoRaWAN networks has become paramount, especially with the limitations of throughput and battery resources. However, LoRaWAN suffers from the Aloha access scheme, which leads to a high probability of collision at large scales, especially in dense environments such as cities. In this paper, we propose EE-LoRa, an algorithm to improve the energy efficiency of LoRaWAN networks with multiple gateways via spreading factor selection and power control. We proceed in two steps, where we first optimize the energy efficiency of the network, defined as the ratio between the throughput and consumed energy. Solving this problem involves determining the optimal node distribution among different spreading factors. Then, in the second step, power control is applied to minimize the transmission power at nodes without jeopardizing the reliability of communications. The simulation results show that our proposed algorithm greatly improves the energy efficiency of LoRaWAN networks compared to legacy LoRaWAN and relevant state-of-the-art algorithms. |
format | Online Article Text |
id | pubmed-10256030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-102560302023-06-10 Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways Loubany, Ali Lahoud, Samer Samhat, Abed Ellatif El Helou, Melhem Sensors (Basel) Article LoRaWAN has imposed itself as a promising and suitable technology for massive machine-type communications. With the acceleration of deployment, improving the energy efficiency of LoRaWAN networks has become paramount, especially with the limitations of throughput and battery resources. However, LoRaWAN suffers from the Aloha access scheme, which leads to a high probability of collision at large scales, especially in dense environments such as cities. In this paper, we propose EE-LoRa, an algorithm to improve the energy efficiency of LoRaWAN networks with multiple gateways via spreading factor selection and power control. We proceed in two steps, where we first optimize the energy efficiency of the network, defined as the ratio between the throughput and consumed energy. Solving this problem involves determining the optimal node distribution among different spreading factors. Then, in the second step, power control is applied to minimize the transmission power at nodes without jeopardizing the reliability of communications. The simulation results show that our proposed algorithm greatly improves the energy efficiency of LoRaWAN networks compared to legacy LoRaWAN and relevant state-of-the-art algorithms. MDPI 2023-06-03 /pmc/articles/PMC10256030/ /pubmed/37300039 http://dx.doi.org/10.3390/s23115315 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Loubany, Ali Lahoud, Samer Samhat, Abed Ellatif El Helou, Melhem Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
title | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
title_full | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
title_fullStr | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
title_full_unstemmed | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
title_short | Improving Energy Efficiency in LoRaWAN Networks with Multiple Gateways |
title_sort | improving energy efficiency in lorawan networks with multiple gateways |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256030/ https://www.ncbi.nlm.nih.gov/pubmed/37300039 http://dx.doi.org/10.3390/s23115315 |
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