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Collision Avoidance Resource Allocation for LoRaWAN

The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low pow...

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Autores principales: Chinchilla-Romero, Natalia, Navarro-Ortiz, Jorge, Muñoz, Pablo, Ameigeiras, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915080/
https://www.ncbi.nlm.nih.gov/pubmed/33572272
http://dx.doi.org/10.3390/s21041218
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author Chinchilla-Romero, Natalia
Navarro-Ortiz, Jorge
Muñoz, Pablo
Ameigeiras, Pablo
author_facet Chinchilla-Romero, Natalia
Navarro-Ortiz, Jorge
Muñoz, Pablo
Ameigeiras, Pablo
author_sort Chinchilla-Romero, Natalia
collection PubMed
description The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is LoRaWAN. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in LoRaWAN networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard LoRaWAN network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with LoRaWAN traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution.
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spelling pubmed-79150802021-03-01 Collision Avoidance Resource Allocation for LoRaWAN Chinchilla-Romero, Natalia Navarro-Ortiz, Jorge Muñoz, Pablo Ameigeiras, Pablo Sensors (Basel) Article The number of connected IoT devices is significantly increasing and it is expected to reach more than two dozens of billions of IoT connections in the coming years. Low Power Wide Area Networks (LPWAN) have become very relevant for this new paradigm due to features such as large coverage and low power consumption. One of the most appealing technologies among these networks is LoRaWAN. Although it may be considered as one of the most mature LPWAN platforms, there are still open gaps such as its capacity limitations. For this reason, this work proposes a collision avoidance resource allocation algorithm named the Collision Avoidance Resource Allocation (CARA) algorithm with the objective of significantly increase system capacity. CARA leverages the multichannel structure and the orthogonality of spreading factors in LoRaWAN networks to avoid collisions among devices. Simulation results show that, assuming ideal radio link conditions, our proposal outperforms in 95.2% the capacity of a standard LoRaWAN network and increases the capacity by almost 40% assuming a realistic propagation model. In addition, it has been verified that CARA devices can coexist with LoRaWAN traditional devices, thus allowing the simultaneous transmissions of both types of devices. Moreover, a proof-of-concept has been implemented using commercial equipment in order to check the feasibility and the correct operation of our solution. MDPI 2021-02-09 /pmc/articles/PMC7915080/ /pubmed/33572272 http://dx.doi.org/10.3390/s21041218 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Chinchilla-Romero, Natalia
Navarro-Ortiz, Jorge
Muñoz, Pablo
Ameigeiras, Pablo
Collision Avoidance Resource Allocation for LoRaWAN
title Collision Avoidance Resource Allocation for LoRaWAN
title_full Collision Avoidance Resource Allocation for LoRaWAN
title_fullStr Collision Avoidance Resource Allocation for LoRaWAN
title_full_unstemmed Collision Avoidance Resource Allocation for LoRaWAN
title_short Collision Avoidance Resource Allocation for LoRaWAN
title_sort collision avoidance resource allocation for lorawan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915080/
https://www.ncbi.nlm.nih.gov/pubmed/33572272
http://dx.doi.org/10.3390/s21041218
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