关键词: 无人机, 数据收集, 窃听, 安全能效, 迭代优化

Abstract: Aiming at the problem of energy limitation of Unmanned Aerial Vehicle (UAV) in secure data collection scenario, a secure and efficient data collection optimization scheme based on UAV was proposed to maximize the Safety and Energy Efficiency (SEE) of the system by jointly optimizing the channel relationship, the transmit power of ground sensors and the flight trajectory of UAV. Because the objective function has the characteristic of fractional optimization, it is difficult to solve the problem directly. In order to solve the above problem, an iterative algorithm based on alternating optimization was designed. The auxiliary variable was introduced and the Taylor series expansion method was used to solve the optimization problem of channel relationship and ground sensor node transmit power, and the reinforcement learning method was used to optimize the UAV trajectory. The performance of the proposed scheme was evaluated and compared with the secrecy rate of the scheme with propulsion power limit, without propulsion power limit and fixed transmit power. The experimental results show that the security energy efficiency of the proposed scheme is increased by 9.6%, 37.3% and 27.7% respectively under different flight times, and the system secrecy rate is improved, and the propulsion power is effectively saved.

Key words: Unmanned Aerial Vehicle &#40, UAV&#41, data collection, eavesdropping