The New Intelligent Wireless Sensor Network using Artificial Intelligence for Building Fire Disasters

This research was aimed to develop an intelligent system for Wireless Sensor Network (WSN) to determine fire disasters in buildings. The parameters used in determining the disasters in the building were temperature level, smoke level, gas content level, the amount of water available, and the number of people per room in the building. There were 3 levels to determine fire disasters, namely: normal, early warning, and fire. The determination of building fire disasters was done by WSN using artificial intelligence with 3 parameters. The Test results in this study obtained an average accuracy rate of 91,8% by utilizing the artificial intelligence algorithm on WSN.