@misc{10481/61763,
year = {2020},
month = {3},
url = {http://hdl.handle.net/10481/61763},
abstract = {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 CO2 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.},
organization = {This work was partially supported by the “Ministerio de Ciencia, Innovación y Universidades” through
the “Ayudas para la adquisición de equipamiento científico-técnico, Subprograma estatal de infraestructuras
de investigación y equipamiento científico-técnico (plan Estatal I+D+i 2017-2020)” (project EQC2018-004988-P),
by Universidad de Granada through the “Programa de Proyectos de Investigación Precompetitivos para
Jóvenes Investigadores. Modalidad A jóvenes Doctores” of “Plan Propio de Investigación y Transferencia
2019” (PPJIA2019.10), by the Campus de Excelencia Internacional Global del Mar (CEI·Mar) through the
“Ayudas Proyectos Jóvenes Investigadores CEI·Mar 2019”, (Project CEIJ-020), by the European Union through
the ERANETMED (Euromediterranean Cooperation through ERANET joint activities and beyond) (Project
ERANETMED3-227 SMARTWATIR).},
publisher = {MDPI},
keywords = {Long Range},
keywords = {Fire detection},
keywords = {Wireless sensor networks (WSN)},
keywords = {The Things Network},
keywords = {LoRaWAN},
title = {LoRaWAN Network for Fire Monitoring in Rural Environments},
doi = {10.3390/electronics9030531},
author = {Sendra Compte, Sandra and García, Laura and Lloret, Jaime and Vega Rodríguez, Roberto},
}