Abstract
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.
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