Natural disasters, such as forest fires, pose a significant threat to the environment and living organisms, jeopardizing plant and animal species. In addition to their direct contribution to air pollution and climate change, Wireless Sensor Networks (WSNs) have garnered the attention of researchers and developers for various contemporary applications, including environmental surveillance and monitoring forest fires. Fast and accurate estimation of when some natural disasters, such as fires, reach specific areas despite the random distribution of sensors in a very large area is considered a serious problem due to the range of detection and coverage- related problems. This paper presents a framework for a wireless sensor network simulation that enables real-time detection and monitoring of forest fires through the use of flame. The proposed model is designed using the MATLAB program, e-training, and its aim is to achieve three main goals: to address forest fires more efficiently than traditional approaches by accurately predicting the dynamics of fire propagation; examine the relationship between the spatial density of randomly positioned sensor nodes within the region and the precision of fire spread predictions. The third and final goal is to establish the best path for the firefighting vehicle that ensures the fire is surrounded at the least possible time.