Early Forest Fire Prediction System Using Wireless Sensor Network

Wireless sensor network (WSN), is a collection of sensors that is used for monitoring the activities in a given environment. They are used in the forests for fire detection wherea large number of sensor nodes are placed to detect the fire inits early stages. Forest fires are the main reason which affect the wildlife and many living creatures. The project performs a comparative analysis between the traditional system and the new system developed used to predict forest fires early using the Wireless sensor network for detecting forest fires with the goal of monitoring the scale and intensity of the wildfire ignited at forests. The solution involves deploying the fire sensing sensors across the forest area, calculating Fire Whether Index (FWI) of the regions, establishing data communications between the sensors using the protocol to create dynamic routing paths across the Wireless Sensor Network 7. These paths are developed based on several factors such as fire, energy, weather index and security. Tracing the multi dynamic route is established using star topology where the red alert zones send the alert message to all the nearby base stations. Using Net Logo simulator this project analyses the performance of the traditional systems and new systems based on network power, fire detection efficacy and the overall power consumed by the fires alerting systems.