  In this letter, we study a buffer-aided Internet of unmanned aerial vehicles
(UAVs) in which a UAV performs data sensing, stores the data, and sends it to
the base station (BS) in cellular networks. To minimize the overall completion
time for all the sensing tasks, we formulate a joint trajectory, sensing
location, and sensing time optimization problem. To solve this NP-hard problem
efficiently, we propose an iterative trajectory, sensing location and sensing
time optimization (ITLTO) algorithm, and discuss the trade-off between sensing
time and flying time. Simulation results show that the proposed algorithm can
effectively reduce the completion time for the sensing tasks.
