Swarm intelligence based clustering and localizing methods for loitering munitions in a satellite denied environment

作     者：Hao WU Zhonghong WU Zhangsong SHI Shiyan SUN Pengfei WU Zhi WANG Hao WU;Zhonghong WU;Zhangsong SHI;Shiyan SUN;Pengfei WU;Zhi WANG

作者机构：School of Ordnance EngineeringNaval University of EngineeringWuhan 430033China 

出 版 物：《Chinese Journal of Aeronautics》 (中国航空学报（英文版）)

年 卷 期：2023年第36卷第10期

页      面：409-433页

核心收录：

学科分类：11[军事学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 082603[工学-火炮、自动武器与弹药工程] 0826[工学-兵器科学与技术] 0835[工学-软件工程] 1109[军事学-军事装备学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Ammunition networking Ad hoc network Clustering Collaborative localization Swarm intelligence 

摘      要：In the networking of loitering munitions during a battle,clustering and localizing algorithms become a major problem because of their highly dynamic topological structure,incomplete connectivity,and limited *** paper proposed swarm intelligence based collaborative localizing,clustering,and routing scheme for an ad hoc network of loitering munitions in a satellite denied environment.A hybrid algorithm was first devised by integrating an improved coyote optimization algorithm with a simplified grey wolf optimizer under the sinusoidal crossover *** performance of this algorithm was considerably improved thanks to *** this basis,a swarm intelligence based localizing algorithm was *** cubes were created to reduce the initial search space,which effectively lowered the localizing ***,an energysaving clustering algorithm based on the hybrid algorithm was put forward to enhance the clustering efficiency by virtue of grey wolf ***,an analysis model was developed to determine the optimal number of clusters using the lowest possible number of ***,a compressed sensing routing scheme based on the hybrid algorithm was proposed to transmit data from a cluster head to a base *** algorithm constructed an efficient routing tree from the cluster head to the base station,so as to reduce the routing delay and transmission *** revealed in the results of simulation experiments,the proposed collaborative localizing,clustering and routing algorithms achieved better performance than other popular algorithms employed in various scenarios.