Modeling of Wireless Sensor Networks for Detection Land and Forest Fire Hotspot

Forest fires in Indonesia is one of big issue and disaster because of Indonesia located in tropical region, furthermore some of region consist of peat land that high risk for fire especially in dry season. Riau Province is one of region that regularly incident of forest fire with affected the length and breadth of Indonesia. This research proposes development of Wireless Sensor Networks (WSNs) for detection of forest fire hotspot in Indonesia, further case location in Riau province one of the region that high risk forest fire in dry season. WSNs technology used for ground sensor system to collect environmental data, any change by the times reporting to the data center to be analyze. Data training for fire hotspot detection is done in data center to determine and conclude of fire hotspot then potential to become big fire. The deployment of sensors will be located at several locations that has potential for fire incident in previous case and forecast location with potential fire happen. Mathematical analysis is used in this case for modelling number of sensor required to deploy and the size of forest area. The design and development of WSNs give high impact and feasibility to overcome current issues of forest fire and fire hotspot detection in Indonesia. The development of this system used WSNs highly applicable for early warning and alert system for fire hotspot detection.