A forest fire prediction system based on rechargeable wireless sensor networks

As the most important factors, local weather observations, environments and human behaviors' characteristics are found highly correlated to forest fire occurrence. Therefore, we introduce a set of fuzzification to assess fire risk in the study area and establish a quantitative potential fire risk scheme. The wireless sensor network's technology was utilized for collecting 24-hour weather data continuously, which provides a high chance to reflect accurately the status of forest environment. Depending on the system, we can obtain which days are the high possibility of forest fires danger and paid special attention to prevent forest fire for forest guards.