Research On UAV Ad-Hoc Networks Driven By Tasks

In recent years,unmanned aerial vehicles(UAVs)have made remarkable achievements in military applications such as the military conflict between Russia and Ukraine.Compared with single UAVs,the research on military related UAV ad hoc network with greater flexibility and survivability has gradually become a research hotspot around the world.At the same time,in order to meet the new operational needs of the military,various countries have proposed many new operational concepts based on existing weapon systems and platforms,such as ”mosaic warfare”,and have continuously improved and developed military theories proposed in the last century,such as the OODA loop theory.With its advantages of low cost,fast speed,easy deployment,flexibility,and strong adaptability,large-scale UAV ad hoc network warfare has become an important operational part of distributed and multi-domain operations in military warfare,and is in line with the operational essentials of the ”mosaic warfare” operational concept.However,due to the high mobility of the drone nodes in the drone ad hoc network,the topology is undergoing drastic changes,and when the scale of the drone ad hoc network nodes is large,there will be problems such as high routing overhead,serious co frequency interference,and poor network performance.At the same time,the unmanned aerial vehicle(UAV)ad hoc network combined with the OODA loop theory is committed to reducing the mission cycle delay.Traditional ad hoc network routing algorithms cannot meet the requirements of unmanned aerial vehicle(UAV)ad hoc network.Therefore,This thesis endeavors to reduce the task cycle delay by optimizing the OLSR routing protocol,which is based on the task requirement of UAV ad hoc networks.In addition,according to the characteristics of large-scale unmanned aerial vehicle(UAV)ad hoc network,research the topology control technology of relevant ad hoc network,and obtain a topology control algorithm suitable for large-scale UAV ad hoc network to ensure reliable communication of UAV ad hoc network.Firstly,in order to solve the problem of OODA loop acceleration,this thesis considers using a proactive routing protocol,namely OLSR routing protocol,to optimize the routing calculation of OLSR routing protocol.It mainly adopts the idea of multi topology routing,combining with OODA loop theory,to calculate and generate four subnet topology routing tables and a global routing table.Through the method of separating links,it accelerates the processing and forwarding of task data,thereby accelerating the completion of OODA loop’ tasks.Simulation experiments are conducted in the NS3 network simulation simulator.The final simulation results show that the multi topology routing algorithm can effectively reduce the periodic delay of the OODA loop.This thesis focuses primarily on clustering and power control methods for topology control,with the aim of addressing issues such as high routing overhead,serious co-frequency interference,and inadequate network performance in large-scale UAV-ad hoc networks.In this thesis,a minimum spanning tree formed based on global topology is used to complete the clustering of unmanned aerial vehicle(UAV)ad hoc network through continuous edge deletion operations,forming a hierarchical architecture of cluster head cluster members.On the basis of clustering,with the goal of reducing energy consumption,ensuring connectivity,and reducing communication interference,based on the global topology within and between clusters,while ensuring network connectivity,continuously reducing redundant edges in the topology and reducing communication interference,the final topology is calculated,and power control is performed to reduce energy consumption.Comparative experiments were conducted using the NS3 network simulation simulator.The simulation results show that the clustering and power control methods can effectively reduce routing overhead,reduce inter node interference,and improve network performance.Finally,in the Linux operating system,build a UAV ad hoc network simulation platform.The UAV ad hoc network simulation platform can perform scenario scenarios on the front-end interface,and through data interaction,conduct scenario simulation experiments on routing algorithms and topology control algorithms on the back-end NS3 network simulation simulator.After the simulation is completed,the effectiveness and performance of the algorithms can be displayed on the front-end.