Research On Wireless Ultraviolet Communication Collaborative Uav Swarm Clustering Method

The Unmanned Aerial Vehicle(UAV)swarm is composed of a group of small UAVs with autonomous networking and collaborative operation.UAV swarm has such excellent characteristics as low cost,good perception capability,strong collaboration and function distribution,which can significantly improve the task execution efficiency.Under severe harsh conditions such as strong electromagnetic interference and complex atmospheric environment,wireless ultraviolet(UV)scattering communication collaborative UAV swarm can realize all-weather,non-line-of-sight and secret communication between UAVs,which provides effective guarantee for information exchange in UAV swarm.Due to the limited energy carried by the UAV,the energy efficiency and data transmission efficiency of UAV network should be improved in order to extend the flight time of UAV as much as possible.Therefore,in view of the energy isomorphism and heterogeneity of UAV nodes,the load balancing problem of UV communication network btetween UAVs is studied.The clustering algorithm is improved to extend the life cycle of the UAV network.The main works are as follows:(1)Aiming at the energy efficiency of UAV swarm network when the UAV node energy is isomorphic,the Energy Efficient Clustering Optimization Algorithm(EECOA)of UV communication network between UAVs is studied.Considering the features of wireless UV scattering link between UAVs,cluster head election mechanism and cluster establishment process of clustering algorithm in UAV swarm network are improved.The cluster head election probability is based on the ratio of residual energy of nodes to average energy of nodes,and cluster structure is generated according to the principle of distance optimization.Simulation results show that the improved algorithm can significantly extend the life cycle of UAV swarm network and improve the performance of data transmission in the network.(2)In practical applications,UAVs have different initial energy due to different mission loads.Therefore,it is necessary to study the clustering control of UAV swarm network under the condition of node energy heterogeneity.In this thesis,the Threshold Sensitive Energy Balance Strategy(TSEBS)of heterogeneous UAV swarm is designed.The cluster head election probability is weighted according to different initial energy of nodes,and the threshold is set to effectively control the amount of information transmission in the UAV network.Simulation results show that this strategy can balance network energy consumption and load,improve data transmission efficiency,and extend the network stability of UAV swarm.In summary,this thesis mainly studies the clustering control problem of UAV swarm under the collaboration of wireless UV communication.Simulation results show that the improved algorithm effectively balances the energy consumption of UAV network,improves the efficiency and reliability of data transmission,and extends the lifetime of UAV network.