Designing a fault-tolerant swarm of drones for flash flood risk assessment

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 Impacts. Keywords: Fault Tolerance, Distributed Algorithms, distributed Systems, Wireless Networks, Embedded Systems, Cyber-Physical Systems, Drones, UAV Swarm, Environmental Monitoring and Modelling, Flash Flood. Motivation. As flash floods have become a recurring disaster[1], causing loss of life, damage to agriculture and infrastructure, and disruption to communities all over the world, more detailed modelling and monitoring of rainfall and riverine floods is key to accurately assessing the risk of increasingly frequent water-related natural hazards. Our doctoral project brings together hydrologists and computer science experts to explore modelling techniques[2,3] and novel UAV-based remote sensing methods[4,5]. The aim of this project is to improve our understanding of the phenomenon and its impacts, and to enhance the spatial. and temporal resolution, particularly for localised events in densely populated areas. Context, state-of-the-art research and scientific goals. In the face of rapid climate change, the water cycle is set to be one of the most affected of all the Earth’s ecological systems. Therefore, more detailed modelling and monitoring of rivers is key to accurately assessing the risk of increasingly frequent water-related natural hazards, such as flash floods[6] induced by rainfall. In