A network topology method for cluster communication based on wolf pack algorithm

一种基于狼群算法的集群通信自组织拓扑方法

¹ School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China
² National Key Laboratory of Security Communication, Chengdu 610041, China
³ School of Cybersecurity, Northwestern Polytechnical University, Xi'an 710072, China

Received: 13 April 2024

Abstract

The foundation of collaborative control of UAVs is to have a stable and reliable network communication environment, which depends on a high real-time and practical network topology method. This paper proposes a self-organizing topology method for cluster network communication based on wolf pack algorithm (NTM-WPA). Firstly, taking into account constraints such as the location of the UAVs and the load operation state of the UAVs, a multi constraint fusion equivalent distance is proposed. Secondly, the improved wolf pack algorithm is utilized to dynamically search for the shortest network communication path in the equivalent bidirectional communication connection diagram. Finally, the simulation analysis and experiment are designed and conducted, the results demonstrated that the proposed method has better real-time performance and practicality.

摘要

无人机集群协同控制的基础是具备稳定可靠的网络通信环境, 需要设计出高实时、实用化的网络拓扑方法。据此提出了一种基于狼群算法的集群通信自组织拓扑方法。综合考虑无人机集群位置情况、无人机通信载荷运转情况等因素, 提出多约束条件融合的等效距离概念及其计算方法; 利用改进狼群算法在双向通信等效距离连接图中动态搜索最短网络通信路径; 设计相应的仿真和实物测试, 实验结果证明所提方法在实时性、实用性等方面具有更好的结果。