Optimising early wildfire detection with wireless communication technologies
by Nevena Serafimova; Jugoslav Achkoski
International Journal of Emergency Management (IJEM), Vol. 18, No. 4, 2023

Abstract: Effective fire detection is critical in firefighting operations, especially in remote and challenging-to-access areas. This study introduces and tests a fire detection model in two National Parks. Each location utilises drones, cameras, and sensors monitoring environmental parameters (temperature, humidity, pressure, CO, CO₂). The model employs an algorithm analysing sensor data to assess current fire risk in real-time, aiding timely decision-making for drone deployment. A star-of-stars wireless sensor network (WSN) layout maximises coverage with minimal resources, adaptable to various terrains. The scalable, distributed system leverages virtualisation technologies, enhancing cost-effectiveness in monitoring inaccessible terrain. Future integration of AI-driven solutions promises advanced data analysis, bolstering local fire prevention strategies.

Online publication date: Thu, 12-Sep-2024

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