Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Loubany, Ali, Lahoud, Samer, Samhat, Abed Ellatif, El Helou, Melhem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
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
_version_ 1785057015526064128
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
work_keys_str_mv AT loubanyali improvingenergyefficiencyinlorawannetworkswithmultiplegateways
AT lahoudsamer improvingenergyefficiencyinlorawannetworkswithmultiplegateways
AT samhatabedellatif improvingenergyefficiencyinlorawannetworkswithmultiplegateways
AT elheloumelhem improvingenergyefficiencyinlorawannetworkswithmultiplegateways