Swarm-based and Energy-aware Unmanned Aerial Vehicle System for Video Delivery of Mobile Objects
UAV, tracking, video, energy-aware
Floods are the most common disaster in the world and cause deaths, damages to houses, buildings, and possessions, as well as disruption to communications. In suchscenarios, it is needed to search and track mobile objects transported by the water flows,such as humans, animals, vehicles, and debris. Unmanned Aerial Vehicles (UAVs) appearsas an essential tool in disaster scenarios, in order to help first responders to determinecorrect procedures in terms of searching, tracking, and rescuing the victims, as well as indefining the actions to minimize the risks in a sustainable and timely manner. However,the tracking of mobile objects and the delivery of real-time video sequences from UAVs with constraints toward first responders is still a hard task. Therefore, it is nec-essary to orchestrate a swarm of UAVs for searching and tracking mobile objects whilereacting fast to frequent changes in the topology and trajectory, as well as distributingreal-time video flows with quality level support to the ground team. This thesis proposal presents an energy-efficient swarm-based scheme for mobile object tracking, calledSUAV. SUAV provides a unique UAV-based system for rescue scenarios with mobile ob-jects and with support for route and path planning, searching and tracking procedures,mobility prediction and multi-hop communication management, video delivery with qual-ity level support, and energy-efficiency. Simulation results show the efficiency of SUAVin transmitting real-time video flows with quality support, while minimizing the energyconsumption in flooding scenarios with mobile targets.