A Novel Drone's Height Control Algorithm for Throughput Optimization in Disaster Resilient Network

In recent years, unmanned aerial vehicle (Unmanned Aircraft Vehicles) networks using unmanned aerial vehicles called UAVs have been studied as one of the means for constructing temporary wireless communication networks in the event of a disaster. In this paper, we investigate a drone network using a rotor UAV called a drone that can be hovered and easy to construct a network. On the other hand, it is expected that the distribution of communication terminals on the ground will be uneven because people concentrate in specific places such as evacuation centers in the actual disaster area. Traffic concentrates on specific drones covering the area where terrestrial terminals are dense, then throughput per terminal decreases. In order to solve this problem, we propose a method to control the height of drone according to the traffic and to select the transmission method by link adaptation, well-known in wireless LAN and cellular systems. By computer simulation, the average throughputs per ground terminal for the heights of the drones are shown quantitatively, and the effectiveness of the proposed method is clarified.