Research On Key Technologies Of Multi-UAV Mission Collaboration

Whether in civilian or military fields,UAV are no longer high.Today,UAV have become an integral part of rescue and disaster relief,special missions,and military warfare.UAV clusters can achieve a high degree of swarm intelligence by coordinating many unimaginable tasks of a single drone by setting up a highly dynamic,low energy consumption,self-adapting self-organizing network with outstanding self-adaptation,and strong resistance to destruction.This article closely focuses on the related technologies of UAV mission collaboration,and in-depth discusses the clustering strategy and cluster maintenance mechanism of UAV networks.At the same time,it incorporates relatively new and flexible ideas into UAV networks.The main results of this paper are as follows:(1)Aiming at reducing the network energy consumption and improving the stability of the network topology,this paper designs a weighted clustering algorithm based on the secondary cluster head mechanism based on the WCA clustering algorithm(SHSC).By introducing an improved maximum speed similarity parameter,nodes with similar motion trends are divided into a cluster,which reduces the number of nodes entering and leaving the cluster and improves the stability of the network.At the same time,the identity of the sub-cluster head is introduced in each cluster to avoid the temporary paralysis of the local area network caused by the failure of the cluster head and improve the network’s survivability.After simulation verification,in terms of energy consumption,the SHSC algorithm is 27%higher than WCA,22%higher than IWCA,and 5%higher than OSCA.In terms of network stability,it is 26%higher than WCA,22%higher than IWCA,and 19%higher than OSCA.(2)Learn from the characteristics and advantages of elastic networks,and try to integrate them into UAV ad hoc networks.Cluster merge and split mechanisms are introduced in cluster maintenance.The cluster merge mechanism is introduced to reduce the redundant cluster structure in the network,make the nodes in each cluster more even and reasonable,and reduce the complexity of the network topology and routing.The cluster split mechanism is introduced to make the route have a certain self-repairing ability,and the network is flexible.The simulation proves the feasibility of the proposed clustering scheme and the success rate of routing repair.