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.

中文翻译：

---

Sense-Store-Send：缓冲辅助无人机互联网的轨迹优化

在这封信中，我们研究了无人驾驶飞行器 (UAV) 的缓冲辅助互联网，其中 UAV 执行数据传感、存储数据并将其发送到蜂窝网络中的基站 (BS)。为了最小化所有传感任务的总体完成时间，我们制定了联合轨迹、传感位置和传感时间优化问题。为了有效地解决这个 NP 难题，我们提出了一种迭代轨迹、传感位置和传感时间优化 (ITLTO) 算法，并讨论了传感时间和飞行时间之间的权衡。仿真结果表明，所提出的算法可以有效减少传感任务的完成时间。