Evaluation of a Wireless Sensor Network for the Detection of Forest Fires

The objective of the study is to assess the effectiveness and reliability of the WSN in detecting forest fires accurately and providing timely alerts to the authorities. Field experiments in a forested area are conducted with controlled fire scenarios to simulate real-world fire conditions. The WSN sensors were deployed, and data from the sensors were collected and analyzed. Proposed result demonstrate that the WSN is capable of detecting forest fires with high accuracy and providing timely alerts. The sensors effectively captured changes in environmental parameters associated with fire events. Through data fusion and intelligent algorithms, the WSN system accurately differentiated between normal environmental variations and fire-related anomalies. The wireless communication capability of the network enabled real-time transmission of data to a central monitoring station, allowing for immediate analysis and decision-making. Additionally, the WSN system demonstrated robustness and fault tolerance, as it could continue functioning even if individual sensors were damaged or lost. The evaluation of the WSN for forest fire detection showed promising results, highlighting its potential as an effective tool for early fire detection and prevention. The use of such a wireless sensor network can enhance the efficiency of fire management strategies, enabling timely responses, reducing response times, and minimizing the impact of forest fires on ecosystems and communities.