Fire Detection Mechanism using Fuzzy Logic

Research in wireless sensor networks (WSNs) has experienced a significant growth in recent years. One topic of special interest is the use of WSNs in the detection of forest fire as it is a common disastrous phenomenon that constitutes a serious threat. Numerous detection mechanisms are available for forest fire in the literature using wireless sensor networks and other methods. The work presented in this paper expresses the idea of implementing Fuzzy Logic on the information collected by sensors. This collected information will be passed on to the cluster head using Event Detection mechanism. Thus multiple sensors are used for detecting probability of fire as well as direction of fire. Each sensor node consists of multiple sensors that will sense temperature, humidity, light and CO density for calculating probability of fire and azimuth angle for calculating the direction of fire. It will improve accuracy of the detection system, as well as reduce the false alarm rate.