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An Adaptive LoRaWAN MAC Protocol for Event Detection Applications
In recent years, the Internet of Things (IoT) is growing rapidly and gaining ground in a variety of fields. Such fields are environmental disasters, such as forest fires, that are becoming more common because of the environmental crisis and there is a need to properly manage them. Therefore, utilizi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104269/ https://www.ncbi.nlm.nih.gov/pubmed/35591228 http://dx.doi.org/10.3390/s22093538 |
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author | Tsakmakis, Athanasios Valkanis, Anastasios Beletsioti, Georgia Kantelis, Konstantinos Nicopolitidis, Petros Papadimitriou, Georgios |
author_facet | Tsakmakis, Athanasios Valkanis, Anastasios Beletsioti, Georgia Kantelis, Konstantinos Nicopolitidis, Petros Papadimitriou, Georgios |
author_sort | Tsakmakis, Athanasios |
collection | PubMed |
description | In recent years, the Internet of Things (IoT) is growing rapidly and gaining ground in a variety of fields. Such fields are environmental disasters, such as forest fires, that are becoming more common because of the environmental crisis and there is a need to properly manage them. Therefore, utilizing IoT for event detection and monitoring is an effective solution. A technique for monitoring such events over a large area is proposed in this research. This work makes use of the Long-Range Wide Area Network (LoRaWAN) protocol, which is capable to connect low-power devices distributed on large geographical areas. A learning-automata-based hybrid MAC model is suggested to reduce the transmission delay, when a small part of the network produces event packets stemming from an event occurrence that is related to environmental monitoring applications, such as events related to forest fires. The proposed hybrid MAC is evaluated via simulation, which indicates that it achieves significantly higher performance in terms of packet delay, when compared to traditional LoRaWAN schemes. |
format | Online Article Text |
id | pubmed-9104269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91042692022-05-14 An Adaptive LoRaWAN MAC Protocol for Event Detection Applications Tsakmakis, Athanasios Valkanis, Anastasios Beletsioti, Georgia Kantelis, Konstantinos Nicopolitidis, Petros Papadimitriou, Georgios Sensors (Basel) Article In recent years, the Internet of Things (IoT) is growing rapidly and gaining ground in a variety of fields. Such fields are environmental disasters, such as forest fires, that are becoming more common because of the environmental crisis and there is a need to properly manage them. Therefore, utilizing IoT for event detection and monitoring is an effective solution. A technique for monitoring such events over a large area is proposed in this research. This work makes use of the Long-Range Wide Area Network (LoRaWAN) protocol, which is capable to connect low-power devices distributed on large geographical areas. A learning-automata-based hybrid MAC model is suggested to reduce the transmission delay, when a small part of the network produces event packets stemming from an event occurrence that is related to environmental monitoring applications, such as events related to forest fires. The proposed hybrid MAC is evaluated via simulation, which indicates that it achieves significantly higher performance in terms of packet delay, when compared to traditional LoRaWAN schemes. MDPI 2022-05-06 /pmc/articles/PMC9104269/ /pubmed/35591228 http://dx.doi.org/10.3390/s22093538 Text en © 2022 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 Tsakmakis, Athanasios Valkanis, Anastasios Beletsioti, Georgia Kantelis, Konstantinos Nicopolitidis, Petros Papadimitriou, Georgios An Adaptive LoRaWAN MAC Protocol for Event Detection Applications |
title | An Adaptive LoRaWAN MAC Protocol for Event Detection Applications |
title_full | An Adaptive LoRaWAN MAC Protocol for Event Detection Applications |
title_fullStr | An Adaptive LoRaWAN MAC Protocol for Event Detection Applications |
title_full_unstemmed | An Adaptive LoRaWAN MAC Protocol for Event Detection Applications |
title_short | An Adaptive LoRaWAN MAC Protocol for Event Detection Applications |
title_sort | adaptive lorawan mac protocol for event detection applications |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104269/ https://www.ncbi.nlm.nih.gov/pubmed/35591228 http://dx.doi.org/10.3390/s22093538 |
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