Post-Disaster Management System Using IoT Technologies

It is of great importance to obtain accurate and fast information from the disaster area in order to reduce the effects of disaster such as loss of life and property after a disaster like earthquake, flood, etc. is occurred. This information also increases the effectiveness of post-disaster management systems. Nowadays, internet of things technology has a wide range of applications including smart city, smart home, energy management, traffic optimization and so on. In this study, a post-disaster management system using internet of things technologies that possesses a fuzzy logic based decision support system is presented. This system aims to manage and plan resources of a post-disaster management system such as rescue personal, equipment, vehicles etc. effectively by obtaining information about the number of people and damaged building affected by the disaster. The performance evaluation of the proposed system is presented on an example scenario including 7 base stations, 50 WiFi connection points and 10 IoT objects. The information on the building damage situation and the human density in the disaster area has been visualized and classified in three different colors with fuzzy logic based decision support system