Enhancing Wildfire Risk Management Through Sensor-Based AI Integration in Social IoT Frameworks
Year: 2024
Type: conference-paper
Abstract: The search for solutions aimed at environmental protection is still an open and increasingly topical challenge. Information and communication technology is playing an increasing role in the research and development of innovative solutions. In this paper, a widespread and scalable solution for forest fire detection based on LoRa technology, a wireless sensor network (WSN), and the development and training of a feed-forward neural network is proposed. Data analysis and alert management are handled through the Social Internet of Things (SIoT) paradigm. The proposed method is validated on a real forest scenario and provides a validated configuration for the early detection of forest fires.
Authors: Martina Putzu, Daniele Loru, Francesco Carta, Angelo Ledda, Alessio Chirigu, Mariella Sole, Matteo Anedda, Daniele Giusto
Institution: University of Cagliari
Language: English
Subfield: Safety, Risk, Reliability and Quality
Field: Engineering
Domain: Physical Sciences
SDG: Life on land
Open Access status: gold
OpenAlex ID: W4405295434