2) Flood Monitoring: Machine Learning and Edge Computing

Flood Management: UAV communications with fog computing and realtime optimisation

Project Duration: 2019 - 2021 (£300K)

An UAV platform is used to collect data from the environment. Sensors and cameras, deployed in UAV stations, enable early detection, impact assessment and localisation of any survivors. To provide adequate coverage for a disaster area, the limited number of UAVs must be optimised and controlled by multi-fog computing networks. This provides correct trajectory and maximise network lifetime, ensure ultra-low network latencies. As disaster environment changes rapidly, the optimisation solutions must be achieved within micro/milli-seconds. To address this, we use robust ML algorithms, which can adapt to these changes, facilitate low-complexity decision making, and support self-organising systems with limited human intervention