Research On Cross Layer Joint Optimization Technology Of UAV Swarms Mobile Ad Hoc Network

In recent years,UAVs have been widely used in reconnaissance,search and rescue,line patrol,mapping and other fields.In UAV Swarm system,network routing technology is the key technology of its communication subsystem.Routing protocols and algorithms have been widely used in traditional Mobile Ad Hoc Network(MANET)scenarios.However,the above protocols and algorithms may not be applicable to the UAV swarm mobile Ad Hoc network with high dynamic topology changes.Therefore,the research on the network routing technology for UAV swarm has gradually become a research hotspot in recent years.This thesis focuses on the improvement and optimization of UAV mobile ad-hoc network routing algorithm in order to improve its key performance indicators.In this thesis,an optimal link-state routing improvement protocol(Power-Aware OLSR,PA-OLSR)based on Power awareness is proposed to improve and optimize the traditional OLSR routing protocol in two aspects: Firstly,in the traditional OLSR protocol,the selection of relay nodes(MPRs)only considers the number of neighbor nodes,but does not take the stability of the link into consideration.Based on the mobile speed of UAV nodes and the power perception of physical layer,the thesis makes mobile state prediction,and calculates the link persistence between nodes through the mobile state of nodes.And persistence to link the nodes of accessibility as the select principle of MPR nodes,each node of the transmitted power based on the predicted state of mobile node of adaptive adjustment,reduce the happen of and adjacent nodes channel conflict,enhance network resource utilization and the quality of service(Qo S),so as to realize the physical layer and network layer of the cross layer optimization.Secondly,the traditional OLSR protocol only calculates the shortest path between nodes according to the number of route forwarding hops.This thesis proposes a routing strategy which considers the number of route hops and link persistence comprehensively,and proposes a dynamic routing maintenance strategy based on the maintenance time of link.Based on the open source NS-3 network simulation framework,this thesis develops a simulation system for UAV Ad Hoc Network,and implements the proposed algorithm PA-OLSR on it,and evaluates its performance.In particular,the thesis under the condition of different number of nodes and node movement speed,to put forward the PA-OLSR routing protocol with C-OLSR and traditional OLSR routing protocol performance comparison test evaluation,based on packet delivery success rate,average data transfer delay,throughput and network routing overhead four key performance index analysis and comparison of test results,The experimental results show that compared with the traditional OLSR protocol,the throughput and packet delivery success rate of PA-OLSR protocol in the UDP packet transmission scenario are improved by 25% and15% respectively,and the data transmission delay is reduced by 50% at most,but the routing overhead is at most 25% greater than the latter.PA-OLSR is better than C-OLSR in terms of delay,throughput and delivery rate,and the ratio of routing overhead of PAOLSR is higher than that of C-OLSR.In the case of image transmission,the transmission time of PA-OLSR is smaller than that of OLSR and C-OLSR.