Self-Organizing Blimp Drones for Wildfire Detection

Wildfire detection has become a topic of tremendous interest for the scientific community in recent years, due to the large-scale non-material and material damages that forest fires inflict and due to the advancements in the fields of edge-computing and signal processing. Within this work we have proposed a novel blimp-based drone system, utilizing LoRa communication and which participates in a self-organizing multi-drone mesh network. The goal of our work is to present a more power-efficient, flexible and cost-effective Unmanned Aerial Vehicle system for wildfire early detection.