QoS-Aware Power Control in Internet of Drones for Data Collection Service
QoS-Aware Power Control in Internet of Drones for Data Collection Service
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DOI：
10.1109/tvt.2019.2915270
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发表时间：
2019-05
影响因子：
6.8
通讯作者：
Jingjing Yao;N. Ansari
中科院分区：
文献类型：
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作者：
Jingjing Yao;N. Ansari
无人机互联网(IoD)利用无人机作为物联网设备来收集不同兴趣点的信息(如空气污染物水平和交通状况)，并已在目标跟踪和交通监控等多个应用中进行了探索。然而，由于无人机的电池容量有限，IoD系统需要节能策略。同时，无人机在空中飞行时变化的无线信道条件可能会降低用户服务质量(Qos)。功率控制可适应不同的信道条件，并控制能量消耗，有助于应对这些挑战。在本文中，我们研究了物联网中数据采集服务的功率控制，以在满足服务质量要求的同时最小化无人机的能量消耗。该问题被描述为一个比率和分式规划问题，它是NP-完全的。然后，我们提出了一种功率控制算法来解决这个问题，并推导了它的收敛速度。大量的模拟实验证明了汽油的性能。
Internet of Drones (IoD) utilizes drones as the Internet of Things devices to collect information (e.g., air pollutant level and traffic condition) over different points of interests, and has been explored in several applications such as object tracking and traffic surveillance. However, owing to the limited battery capacity of drones, energy efficient strategies are required in IoD systems. Meanwhile, the varying wireless channel conditions as a drone flies in the air may degrade the user quality of service (QoS). Power control, which adapts to the varying channel conditions and also controls the energy consumption, helps address these challenges. In this paper, we investigate power control in IoD for the data collection service to minimize the energy consumption of a drone while meeting the QoS requirement. The problem is formulated as a sum-of-ratios fractional programming problem, which is NP-complete. We then propose a PowEr conTROL (PETROL) algorithm to solve this problem and derive its rate of convergence. Extensive simulations demonstrate the performances of PETROL.