基于鲸鱼优化算法的无人机通信网络链路拥塞控制研究

Research on Link Congestion Control of UAV Communication Network Based on Whale Optimization Algorithm

摘要:

为了提高无人机通信网络的安全性,解决由于链路拥塞而导致的通信数据误码与丢失问题,提出基于鲸鱼优化算法的无人机通信网络链路拥塞控制方法。采用NetFlow技术获取无人机通信链路实时运行数据,度量链路利用率等指标,识别当前网络链路的拥塞状态。模拟无人机通信与链路拥塞过程,综合考虑无人机通信直视径、反射径和散射径三个分量,构建网络链路模型。在无人机通信网络链路拥塞控制协议的约束下,均衡调度无人机通信数据,利用鲸鱼优化算法选择通信链路的最优解,完成通信链路切换工作,实现无人机通信网络链路的拥塞控制任务。实验结果表明:在设计方法控制下,无人机通信网络链路的时延减小了61s,吞吐率提升135kbit/s,证明优化方法能够有效缓解链路的拥塞程度,通过对通信网络误码率和溢出丢包率的分析,证明优化控制方法不会对网络的通信任务产生明显影响。

Abstract:

In order to improve the security of unmanned aerial vehicle communication networks and solve the problem of communication data error and loss caused by link congestion, a link congestion control method for unmanned aerial vehicle communication networks based on whale optimization algorithm is proposed. The NetFlow technology was used to obtain the real-time operation data of UAV communication link, measure the link utilization rate and other indicators, and identify the congestion status of the current network link. The process of UAV communication and link congestion is simulated, and the network link model is constructed by considering the direct vision path, reflection path and scattering path of UAV communication. Under the constraints of the congestion control protocol of the UAV communication network link, the UAV communication data is balanced and scheduled. The whale optimization algorithm is used to select the optimal solution of the communication link, complete the communication link switching work, and achieve the congestion control task of the UAV communication network link. The experimental results show that: under the control of the optimization design method, the delay of the UAV communication network link has been reduced by 61 seconds, and the throughput has been increased by 135 kbit/s. This proves that the optimization method can effectively alleviate the congestion degree of the link. Through the analysis of the communication network error rate and overflow packet loss rate, it is proved that the optimization control method does not have a significant impact on the communication tasks of the network.