Resilient and Energy-Aware UAV Swarms for Wildfire Monitoring

id="offer-description" class="ecl-u-type-heading-2 ecl-u-mt-none ecl-u-mb-l">Offer Description Research fields: Distributed Systems, Autonomous Systems, Environmental Monitoring. Keywords: distributed computing, UAV swarms, wildfire monitoring, fault tolerance, coverage, energy efficiency, global change, remote sensing. Motivation. Climate change is increasing the frequency and severity of conditions conducive to wildfires across Europe, including extreme heat, drought, and prolonged periods of high fire danger. In 2025 alone, more than one million hectares burned in the European Union, representing the highest annual burnt area recorded by the European Forest Fire Information System (EFFIS) since 2006 [Eur26]. Southwestern Europe is particularly exposed, with France, Portugal, and Spain experiencing an extreme wildfire season in 2022 [Rod23] and again suffering major wildfires in 2025 [Cop26]. Given this situation, effective wildfire monitoring is becoming increasingly important, as timely and reliable information on fire fronts, temperature, smoke, and affected areas can support faster and better-informed emergency-response and civil-protection operations. This project explores how emerging technologies can improve the reliability and resilience of wildfire monitoring. Context and state-of-the-art research. The increasing frequency and severity of wildfires require timely and reliable monitoring to support effective emergency response. UAVs equipped with thermal, visual, an