灾害应急通信自组网与航迹优化研究OA北大核心CSTPCD
Research on disaster emergency communication ad hoc network and route optimization
针对灾害场景下的应急通信网络恢复问题,提出一种分布式无人机部署方法,旨在利用无人机在通信网络受损的灾区建立多跳自组织网络,为该地区提供应急通信服务.首先,定义了无人机自组网约束函数、三维空间搜索方向约束函数和障碍物约束函数,将无人机辅助的多跳自组织网络问题抽象为基于规则法的目标函数;其次,改进了惯性权重和学习因子来提高粒子群算法的全局搜索效率和准确性,并设计多跳自组织网络无人机部署算法,以保证无人机能够以最优的航迹进行自组织网络部署;最后,通过计算目标函数进行无人机部署,并绘制无人机的三维部署航迹图.设计仿真样例对基于规则法的多跳自组织网络无人机部署方法进行验证,仿真结果证明了该方法的有效性.
In view of the recovery of the emergency communication network in the case of disaster,a distributed UAV(unmanned aerial vehicle)deployment method is proposed.It strives to establish a multi-hop ad hoc network by the UAV in disaster areas where the communication network is damaged,and provides emergency communication services for the region.The ad hoc network constraint function,the 3D search direction constraint function and the obstacle constraint function are defined.The UAV-aided multi-hop ad hoc network problem is abstracted as an objective function with behavior-based method.The inertia weight and the learning factors are improved to enhance the efficiency and accuracy of the particle swarm optimization(PSO)algorithm.The UAV deployment algorithm for multi-hop ad hoc network is designed,so that the UAV can realize the ad hoc network deployment with the optimal route.The UAV is deployed by calculating the objective function.The 3D deployment route map of the UAV is drawn.Simulation examples are designed to verify the behavior-based UAV deployment method for multi-hop ad hoc network.The simulation results show the effectiveness of the proposed method.
高睿;王霄;徐凌桦
贵州大学 电气工程学院,贵州 贵阳 550025
电子信息工程
无人机自组织网络避障控制规则法粒子群算法航迹优化三维部署节能部署
UAVad hoc networkobstacle avoidance controlbehavior-based methodPSO algorithmtrack optimization3D deploymentenergy efficient deployment
《现代电子技术》 2024 (019)
8-13 / 6
国家自然科学基金项目(61861007);国家自然科学基金项目(61640014);贵州省科技计划项目(黔科合基础-ZK[2021]一般303);贵州省科技支撑计划(黔科合支撑[2022]一般017,黔科合支撑[2023]一般096,黔科合支撑[2022]一般264);贵州省教育厅创新群体项目(黔教合KY字[2021]012);贵大人基合字(2014)08号
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