A Design of IoT-based Searching System for Victim Localization

M. ROSYIDI (1751134)

As a disaster is an unpredictable event, it may be difficult to escape damage entirely even if evacuation drills are carried out periodically. In such a case, people requiring evacuation assistance like aged people and disabled people are prone to be victims. To minimize the damage, a fire department and a local government need to swiftly grasp the situation of the afflicted area in order to execute rescue operation.

In this thesis, to support the rescue operation, we propose a design and implementation of an Internet of Things (IoT) device to grasp the presence of people requiring evacuation assistance. The IoT device captures Wi-Fi signal and data packets from victim's smartphones, and provides an analysis for victim localization in open-space and closed-space.

Through the experimental results, we show that closed-space approach become a complement to the open-space approach result. Closed-space approach show better result than open-space approach in area with obstacle, otherwise open-space approach work better in line of sight building to open-space area. Also, the system provides a visualization of victims in the disaster area to support the rescue operation.