Collaborative Communication Theories And Simulation Implementations For UAV Clusters

With the rapid deployment of information technologies such as 5G networks,the Internet of Things,and artificial intelligence,UAVs are widely used as one of the new methods of last-mile access to information networks due to their flexibility,maneuverability,and fast deployment.It is widely used in target detection,tracking,disaster monitoring,etc.UAVs are difficult to complete complex mission requirements due to limitations in their computing capabilities,communication capabilities,and storage capabilities.UAV clusters network(UAVCN)have emerged,which are composed of multiple UAVs and operate in cluster mode.However,how to achieve efficient communication between UAVs in a cluster is an important challenge faced by the current UAVCN,and has become a current research hotspot in UAV cluster communication and application,which has attracted widespread attention from the academic and industrial circles.Therefore,this thesis conducts in-depth research on the theory and simulation of collaborative communication for UAV clusters,and realizes efficient collaborative communication between UAV in the UAVCN.The main research content and innovative work of this thesis are as follows:1.Constructed a dynamic collaborative communication architecture for UAV clusters.By researching the existing centralized and distributed collaborative communication architecture for UAV clusters,a new hybrid collaborative communication architecture for UAVCN is proposed.This architecture avoids problems such as the lack of a cluster center in the UAVCN distributed collaborative communication architecture and the difficulty of network management.It takes the high dynamics and limited energy of UAVs as constraints,and also considers the nodes in the UAVCN.Importance,remaining energy intensity,and motion similarity are three important factors;then a Mean-shift-based cluster clustering algorithm is proposed to solve the problem of difficult management of distributed UAVCN.By building a UAV cluster collaborative communication joint simulation platform based on OMNet++ and ROS,it is verified that the proposed algorithm is more reasonable and has better performance。2.Propose a collaborative communication algorithm based on centralized UAV clusters.First,the Nakagami-m channel fading model of wireless transmission is described,and the calculation formula of the transmission interruption probability of this model is deduced.Then the centralized cluster collaborative communication network is modeled and analyzed,and the interruption probability of multi-node collaborative transmission is deduced.The optimal transmission signal-to-noise ratio(SNR)is determined by combining the primary side interruption probability and the optimal number of collaborative nodes,and then the optimal transmission power on the secondary side is determined.Finally,the cluster center uses a multi-parameter joint optimization strategy to uniformly schedule resources,thereby maximizing the SNR and minimizing energy consumption of the entire centralized UAV cluster collaborative communication。3.Propose a collaborative communication algorithm for UAV clusters based on autonomous distributed.Through the analysis of the characteristics and key technologies of the large-scale autonomous distributed UAV cluster collaborative communication network,the topology perception of the entire cluster network is studied.This thesis first analyzes the influence of the parameters of the MAC layer protocol on the channel utilization,and establishes a Markov-based channel transmission delay model.A rule for fast and reliable forwarding of packets based on a tree structure is proposed,and the forwarding and maintenance rules of the tree structure are optimized at the same time.The main improvement is to reduce unnecessary topology information forwarding,and actively maintain the tree topology of the cluster,thereby enhancing the topology awareness of the distributed UAVCN.Then a fast and robust routing strategy based on time-varying aggregation graph(TVAG)is proposed.Among them,the link capacity and node duration are calculated,and the link bandwidth is used as the routing measurement value,thereby greatly improving the load balancing capability of the entire UAVCN.Finally,two parameters of link capacity and node duration are combined to jointly optimize the selection of collaborative communication nodes.Simulation analysis shows the effectiveness and applicability of the strategy proposed in this thesis for distributed UAVCN.