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 

机构地区：[1]School of Ordnance Engineering,Naval University of Engineering,Wuhan 430033,China

出　　处：《Chinese Journal of Aeronautics》2023年第10期409-433,共25页中国航空学报（英文版）

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 energy.This 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 strategy.The performance of this algorithm was considerably improved thanks to integration.On this basis,a swarm intelligence based localizing algorithm was presented.Bounding cubes were created to reduce the initial search space,which effectively lowered the localizing error.Second,an energysaving clustering algorithm based on the hybrid algorithm was put forward to enhance the clustering efficiency by virtue of grey wolf hierarchy.Meanwhile,an analysis model was developed to determine the optimal number of clusters using the lowest possible number of transmissions.Ultimately,a compressed sensing routing scheme based on the hybrid algorithm was proposed to transmit data from a cluster head to a base station.This algorithm constructed an efficient routing tree from the cluster head to the base station,so as to reduce the routing delay and transmission count.As 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.

关 键 词：Ammunition networking Ad hoc network CLUSTERING Collaborative localization Swarm intelligence 

分 类 号：TJ410[兵器科学与技术—火炮、自动武器与弹药工程] E91[军事] TP18[自动化与计算机技术—控制理论与控制工程]