A Fire Detection System Using Multi-Sensor Networks Based on Fuzzy Logic in Indoor Scenarios

This paper presents the development of a fire detection system using a wireless multi-sensor network based on fuzzy logic rules. Until recently, the fire detection systems have been limited in the coverage area and installation of the device, so that the sensitivity of the sensor becomes limited indoor. This research proposes the use of multi-sensor system to detect indoor phenomena. The Fuzzy logic method is used to process data on multiple sensors and the cluster head (CH). The result of multi-sensor data processing is the condition level on the end device (ED). The test results show that the data processing using fuzzy logic for the measurements from distributed sensors reduces the data storage and computing complexity at the fusion center (FC). Fire detection application (FDA) displays the status condition (SC), where data sources from multi-sensor nodes are displayed as room conditions.