Service-based Trajectory Planning in Multi-Drone Skyway Networks

Abstract--We present a demonstration of service-based trajectory planning for a drone delivery system in a multi-drone skyway network. We conduct several experiments using Crazyflie drones to collect the drone's position data, wind speed and direction, and wind effects on voltage consumption rates. The experiments are run for a varying number of recharging stations, wind speed, and wind direction in a multi-drone skyway network. Drones are a specific type of unmanned aerial vehicles that Figure 1: Multi-Drone Skyway Network fly autonomously with full network connectivity capabilities where the drones wait for the recharging pad availability to [1]. This connectivity enables drones to operate safely and be recharged.