Title: Optimising early wildfire detection with wireless communication technologies

Authors: Nevena Serafimova; Jugoslav Achkoski

Addresses: Department of Natural and Military-Technical Sciences, Military Academy Skopje, Skopje, 1000, N Macedonia ' Department of Military Sciences and Skills, Military Academy Skopje, Skopje, 1000, N Macedonia

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.

Keywords: wildfire; forests; remote monitoring; sensors; data fusion; algorithm; decision; emergency response; emergency management; scalability.

DOI: 10.1504/IJEM.2023.141429

International Journal of Emergency Management, 2023 Vol.18 No.4, pp.380 - 401

Accepted: 12 Jun 2024
Published online: 12 Sep 2024 *

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