LoRaWAN Network for Fire Monitoring in Rural Environments
The number of forest fires that occurred in recent years in different parts of the world is causing increased concern in the population, as the consequences of these fires expand beyond the destruction of the ecosystem. However, with the proliferation of the Internet of Things (IoT) industry, soluti...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-03-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/9/3/531 |
_version_ | 1797999145857843200 |
---|---|
author | Sandra Sendra Laura García Jaime Lloret Ignacio Bosch Roberto Vega-Rodríguez |
author_facet | Sandra Sendra Laura García Jaime Lloret Ignacio Bosch Roberto Vega-Rodríguez |
author_sort | Sandra Sendra |
collection | DOAJ |
description | The number of forest fires that occurred in recent years in different parts of the world is causing increased concern in the population, as the consequences of these fires expand beyond the destruction of the ecosystem. However, with the proliferation of the Internet of Things (IoT) industry, solutions for early fire detection should be developed. The assessment of the fire risk of an area and the communication of this fact to the population could reduce the number of fires originated by accident or due to the carelessness of the users. This paper presents a low-cost network based on Long Range (LoRa) technology to autonomously evaluate the level of fire risk and the presence of a forest fire in rural areas. The system is comprised of several LoRa nodes with sensors to measure the temperature, relative humidity, wind speed and CO<sub>2</sub> of the environment. The data from the nodes is stored and processed in a The Things Network (TTN) server that sends the data to a website for the graphic visualization of the collected data. The system is tested in a real environment and, the results show that it is possible to cover a circular area of a radius of 4 km with a single gateway. |
first_indexed | 2024-04-11T10:59:57Z |
format | Article |
id | doaj.art-b3d81760fcb94dbdb90d3ac82ffec87f |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-04-11T10:59:57Z |
publishDate | 2020-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-b3d81760fcb94dbdb90d3ac82ffec87f2022-12-22T04:28:39ZengMDPI AGElectronics2079-92922020-03-019353110.3390/electronics9030531electronics9030531LoRaWAN Network for Fire Monitoring in Rural EnvironmentsSandra Sendra0Laura García1Jaime Lloret2Ignacio Bosch3Roberto Vega-Rodríguez4Department of Teoría de la Señal, Telemática y Comunicaciones (TSTC), Universidad de Granada, Periodista Daniel Saucedo Aranda s/n, 18014 Granada, SpainInstituto de Investigación para la Gestión Integrada de zonas Costeras (IGIC), Universitat Politècnica de València, Paraninf 1, 46730 Valencia, SpainInstituto de Investigación para la Gestión Integrada de zonas Costeras (IGIC), Universitat Politècnica de València, Paraninf 1, 46730 Valencia, SpainInstitute of Telecommunications and Multimedia Applications (iTEAM), Universitat Politècnica de València, Camino Vera s/n, 46022 Valencia, SpainDepartment of Teoría de la Señal, Telemática y Comunicaciones (TSTC), Universidad de Granada, Periodista Daniel Saucedo Aranda s/n, 18014 Granada, SpainThe number of forest fires that occurred in recent years in different parts of the world is causing increased concern in the population, as the consequences of these fires expand beyond the destruction of the ecosystem. However, with the proliferation of the Internet of Things (IoT) industry, solutions for early fire detection should be developed. The assessment of the fire risk of an area and the communication of this fact to the population could reduce the number of fires originated by accident or due to the carelessness of the users. This paper presents a low-cost network based on Long Range (LoRa) technology to autonomously evaluate the level of fire risk and the presence of a forest fire in rural areas. The system is comprised of several LoRa nodes with sensors to measure the temperature, relative humidity, wind speed and CO<sub>2</sub> of the environment. The data from the nodes is stored and processed in a The Things Network (TTN) server that sends the data to a website for the graphic visualization of the collected data. The system is tested in a real environment and, the results show that it is possible to cover a circular area of a radius of 4 km with a single gateway.https://www.mdpi.com/2079-9292/9/3/531long range (lora)lorawanfire detectionlow-costarduinomonitoringsensorswireless sensor networks (wsn), draginothe things network (ttn) |
spellingShingle | Sandra Sendra Laura García Jaime Lloret Ignacio Bosch Roberto Vega-Rodríguez LoRaWAN Network for Fire Monitoring in Rural Environments Electronics long range (lora) lorawan fire detection low-cost arduino monitoring sensors wireless sensor networks (wsn), dragino the things network (ttn) |
title | LoRaWAN Network for Fire Monitoring in Rural Environments |
title_full | LoRaWAN Network for Fire Monitoring in Rural Environments |
title_fullStr | LoRaWAN Network for Fire Monitoring in Rural Environments |
title_full_unstemmed | LoRaWAN Network for Fire Monitoring in Rural Environments |
title_short | LoRaWAN Network for Fire Monitoring in Rural Environments |
title_sort | lorawan network for fire monitoring in rural environments |
topic | long range (lora) lorawan fire detection low-cost arduino monitoring sensors wireless sensor networks (wsn), dragino the things network (ttn) |
url | https://www.mdpi.com/2079-9292/9/3/531 |
work_keys_str_mv | AT sandrasendra lorawannetworkforfiremonitoringinruralenvironments AT lauragarcia lorawannetworkforfiremonitoringinruralenvironments AT jaimelloret lorawannetworkforfiremonitoringinruralenvironments AT ignaciobosch lorawannetworkforfiremonitoringinruralenvironments AT robertovegarodriguez lorawannetworkforfiremonitoringinruralenvironments |