计算机工程2024，Vol.50Issue(2)：59-67,9.DOI:10.19678/j.issn.1000-3428.0066761
面向安全传输的低能耗无人机轨迹优化算法
Low Energy Consumption UAV Trajectory Optimization Algorithm for Secure Transmission
摘要
Abstract
Unmanned Aerial Vehicles(UAVs)are widely used to collect large-scale discrete node data because of their flexible maneuverability and high data transmission rates.The limited onboard energy also makes UAV energy consumption optimization a trending research hotspot.However,when eavesdropping nodes are formed in the environment,optimizing the energy consumption of drones while ensuring the secure data transmission from multiple discrete data nodes poses a significant challenges.Based on this,the introduction of relay nodes and secure capacity aims to ensure the secure transmission of data from a physical level and proposes a low-energy UAV trajectory optimization algorithm for secure transmission.The channel model between drones and ground nodes,the secure capacity between drones and data nodes,and the energy consumption of drone flight communication are established.The problem is formulated as a Non-deterministic Polynomial(NP)hard to solve the optimization problem to minimize drone energy consumption and the main constraint of secure data transmission between the data nodes and drones.The problem is decomposed into subproblems,and a self-organizing mapping method and customized particle swarm optimization algorithm are used to solve the optimal order of drone access to data nodes and the optimal position to hover around data nodes.Based on previous studies,three benchmark schemes are proposed for performance comparison.The simulation experimental results show that when the maximum output power of the energy collection circuit of the relay node changes,the proposed optimization algorithm is,on average,7.25%,8.59%,and 11.57%better than the BASE_D,BASE_M,BASE_R three benchmark schemes in reducing the total energy consumption of the drone.In addition,the performance of the proposed algorithm is superior to existing solutions in terms of the secure capacity implementation rate.For example,when the secure capacity threshold increases from 0.001 to 0.500,the proposed algorithm outperforms the benchmark scheme BASE_M is 23.45%.关键词
无人机/安全容量/低能耗/无线传能/能量收集Key words
Unmanned Aerial Vehicle(UAV)/secure capacity/low energy consumption/wireless energy transmission/energy harvesting分类
信息技术与安全科学引用本文复制引用
吴嘉鑫,孙一飞,吴亚兰,武继刚..面向安全传输的低能耗无人机轨迹优化算法[J].计算机工程,2024,50(2):59-67,9.基金项目
国家自然科学基金(62072118,62202108) （62072118,62202108）
广东省基础与应用基础研究基金(2021B1515120010,2023A1515030183,2023A1515011230). （2021B1515120010,2023A1515030183,2023A1515011230）
