论文标题
节能无人机传感器数据收集：动态自适应调制和高度控制
Energy-Efficient UAV-Sensor Data Harvesting: Dynamic Adaptive Modulation and Height Control
论文作者
论文摘要
利用无人机（UAV）很方便从接地传感器收集数据。但是，在不明城市环境的存在下，数据收集受到城市建筑物的阻塞。在本文中，考虑到飞行过程中的城市环境，我们建议在城市地区进行无人机传感器数据收集的动态自适应调制和高度控制。在每个时间插槽中，根据当前系统状态选择调制格式和飞行高度，以最大程度地减少在数据量和飞行高度约束下传感器的预期传输能量。动态自适应调制和高度控制问题被提出为受限的有限马尔可夫决策过程（CMDP），可以通过向后感应算法来解决。仅通过计算机模拟说明了拟议的关节设计比调制选择的优点，其中可以将48.23％的预期传输能量保存用于接地传感器。
Leveraging unmanned aerial vehicle (UAV) is convenient to collect data from ground sensor. However, in the presence of unknown urban environment, the data collection is subject to the blockage of urban buildings. In this paper, considering the urban environment during flight, we propose dynamic adaptive modulation and height control for UAV-sensor data harvesting in urban areas. In each time slot, the modulation format and flight height are selected based on current system states, with the aim of minimizing the expected transmission energy of sensor under data volume and flight height constraints. The dynamic adaptive modulation and height control problem is formulated as constrained finite-horizon Markov decision processes (CMDP), which can be solved by backward induction algorithm. The advantage of proposed joint design over modulation selection only is illustrated via the computer simulations, where 48.23% expected transmission energy can be saved for ground sensor.
