Advisor(s)
Abstract(s)
Wireless Sensor Networks (WSN) can be used to acquire environmental variables useful
for decision-making, such as agriculture and forestry. Installing a WSN on the forest will allow
the acquisition of ecological variables of high importance on risk analysis and fire detection.
The presented paper addresses two types of WSN developed modules that can be used on the
forest to detect fire ignitions using LoRaWAN to establish the communication between the nodes
and a central system. The collaboration between these modules generate a heterogeneous WSN; for
this reason, both are designed to complement each other. The first module, the HTW, has sensors
that acquire data on a wide scale in the target region, such as air temperature and humidity, solar
radiation, barometric pressure, among others (can be expanded). The second, the 5FTH, has a set of
sensors with point data acquisition, such as flame ignition, humidity, and temperature. To test HTW
and 5FTH, a LoRaWAN communication based on the Lorix One gateway is used, demonstrating the
acquisition and transmission of forest data (simulation and real cases). Even in internal or external
environments, these results allow validating the developed modules. Therefore, they can assist
authorities in fighting wildfire and forest surveillance systems in decision-making.
Description
Keywords
Fire detection IoT LoRAWAN Wildfires WSN
Pedagogical Context
Citation
Brito, Thadeu; Pereira, Ana I.; Lima, José; Valente, António (2020). Wireless sensor network for ignitions detection: an IoT approach. Electronics (Switzerland). ISSN 2079-9292. 9:6, p. 1-16