论文标题
感官储物 - 储存：用于缓冲辅助互联网的轨迹优化
Sense-Store-Send: Trajectory Optimization for a Buffer-aided Internet of UAVs
论文作者
论文摘要
在这封信中，我们研究了无人驾驶汽车的缓冲互联网（UAV），其中无人机执行数据传感，存储数据并将其发送到蜂窝网络中的基站（BS）。为了最大程度地减少所有感应任务的整体完成时间，我们制定了一个联合轨迹，传感位置和传感时间优化问题。为了有效地解决这一NP硬性问题，我们提出了一个迭代轨迹，感应位置和传感时间优化（ITLTO）算法，并讨论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地减少传感任务的完成时间。
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.
