Abstract
In this poster, we study a cellular Internet of unmanned aerial vehicles (UAVs), in which one UAV collects data from ground sensors (GSs), and one UAV relays the sensory data to the base station (BS). Since the trajectories of these two UAVs have impact on each other, we formulate a cooperative trajectory optimization problem to minimize the completion time for all the tasks. To solve this non-convex problem, we propose an algorithm that solves the trajectories of the two UAVs iteratively. Simulation results show that the completion time for all the tasks in the proposed scheme is significantly improved than the non-cooperative scheme.
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