I defended my master's thesis on February 3, 2021 at Islamic Azad University, Tabriz Branch. In this thesis, a smart fire system is proposed to predict, control, and alert fire occurrences by using multiple fuzzy-based methods. This system aids less energy to be consumed for transmitting various messages between wireless nodes, network traffic to be reduced over the network, and network lifetime to be prolonged consequently. The proposed routing protocols are, generally, categorized into two groups: static and dynamic. The static protocols are used to transmit data packets between the stationary nodes placed in different locations. The dynamic protocols direct, control, and transmit messages between vehicles and rescue team members. Besides, several fuzzy systems are offered to detect explosion possibility, determine fire probability, measure the intensity and volume of the fire, estimate fire progress, detect the burn possibility, and determine suffocation probability. In addition, the system determines the active and passive nodes as well as detects failure nodes throughout the network. Rescue teams are dispatched to events on the best path, between fire department and event place, that is selected by another fuzzy-based procedure. This procedure leads the rescue and support teams to be dispatched to events in a short time. Simulation and evaluation results show that the proposed fire system has a high performance compared to the most existing fire systems.
You could find the thesis document via the link.
