Internet of Things-Based Firefighters for Disaster Case Management

In this study, Internet of Things (IoT) based firing zone monitoring and firefighter surveillance system (IoT-FFM) is developed with IEEE 802.15.6 standard and Ad hoc On-Demand Distance Vector (AODV) routing protocol. Fireground coordinates, fire temperature, and gas type in the environment are collected, and also, respiration rate, heart rate, pulse oximeter of the firefighter, and nearest firefighter number are gathered with the proposed IoT-FFM wireless communication system. The gathered data are saved in InfluxDB database with Node-RED programming tool and monitored in real-time with Grafana monitoring system at the remote control center. End-to-end delay, throughput, and energy consumption parameters are considered for performance evaluation of the IoT-FFM. The Nakagami channel model is used for a more realistic wireless environment and compared with the Free Path Loss model. Thanks to the IoT-FFM, the health conditions of firefighters can be kept under control, and information about the fire zone can be mapped, and the fire can be intervened appropriately.WOS:0005972166000672-s2.0-8509771400