摘要
在无人机辅助移动边缘计算网络中,优化无人机的飞行轨迹可以显著提升无线网络的各项性能指标。该文主要以加权最小化无人机的飞行能耗和接收卸载任务的能耗为目标,考虑满足无人机自身的机械特性和多无人机之间飞行轨迹需满足碰撞避免的约束条件,协同优化多架无人机的飞行轨迹和无人机与地面设备之间的卸载决策参数。建立的基于能耗最小化的多无人机飞行轨迹的优化问题中,目标函数非线性,约束条件非凸。针对这些问题,通过引入辅助变量转化非凸的优化条件,并通过连续凸优化的方法转化非线性的优化问题求解。仿真结果表明,所提多无人机的轨迹优化算法,较好地优化了所有无人机的飞行轨迹,在保证所有地面设备任务卸载完成的前提下明显改善了无人机的能耗性能。
In the multi unmanned aerial vehicles(UAV)assisted mobile edge computing(MEC),optimizing the trajectory of the UAV is of great significance for improving the performance of wireless networks.In this paper,a weighted flight energy consumption and receiving offload task energy consumption minimization problem is formulated to optimize the trajectory scheduling of UAVs and offload decision parameters,where both the multi-UAV mechanical property and collision avoidance mechanism are considered.For the nonlinear optimization problem and non-convex constraint conditions,we develop auxiliary variables to relax the non-convex constraint conditions and the successional convex optimization method.Simulation results demonstrate that the proposed trajectory optimization algorithm for the multi-UAV can obtain excellent UAV trajectories while reducing the consumption energy of UAVs.
作者
江雪
赵亮
JIANG Xue;ZHAO Liang(School of Internet of Things,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Hangzhou Haoshun Vision Technology Co.,Ltd.,Hangzhou 311100,China)
出处
《计算机技术与发展》
2023年第5期110-115,共6页
Computer Technology and Development
基金
国家自然科学基金(62001248)
杭州昊舜科技有限公司合作项目(HV-20210610B,2021外256)。
关键词
移动边缘计算
多无人机
加权能耗
轨迹优化
卸载决策参数
mobile edge computing
multi unmanned aerial vehicles
weighted energy consumption
trajectory scheduling
offload decision parameter
