Autors: Rizanov, S. M., Yakimov, P. I. Title: Self-Organizing Blimp Drones for Wildfire Detection Keywords: Blimp, Drone, Forest fire, UAV, WildfireAbstract: 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. References - Saraereh OA, Alsaraira A, Khan I, Uthansakul P (2020) Performance evaluation of UAV-enabled LoRa networks for disaster management applications. Sensors 20(8):2396
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Issue
| Lecture Notes in Networks and Systems, vol. 817, pp. 571-585, 2024, , https://doi.org/10.1007/978-981-99-7886-1_47 |
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