Research On Harmonized Sensing And Communication Routing Technology For Uav Network

Wireless communication technology has developed rapidly in the past few years.UAV has gradually become an important communication equipment in military,agriculture,transportation,rescue and other fields due to its unique mobile characteristics.Multi-UAV can establish an information communication platform in the air without the support of ground facilities through Ad-Hoc Network technology,which has been widely used in many practical scenarios such as data collection,emergency rescue,military confrontation and so on.People put forward higher and higher requirements for rapid networking and reliable transmission in UAV network,which brings many challenges while promoting the development of UAV network technology.Due to the high-speed movement of UAV nodes and the uneven distribution of nodes,the network topology changes dynamically,and the performance of traditional routing protocols in highly dynamic networks is poor.This paper focuses on the problem of how to establish efficient and reliable routing in the UAV Ad-Hoc Network,and analyzes the research focus and difficulties of this problem,and proposes a specific solution that can be used to solve this problem.First of all,we propose a perceptual information-assisted routing algorithm for UAV network,which is mainly aimed at the highly dynamic UAV self-organized network.Kalman filter is used to predict the periodic motion state of nodes before routing discovery,which provides some prior information for subsequent routing decisions.Then the route discovery process is modeled as a reinforcement learning algorithm,and the multi-objective optimization of route selection is realized by sensing communication fusion.Subsequently,the algorithm is simulated and analyzed to verify its advantages in transmission delay and network overhead.Then,for large-scale UAV network,a deterministic multipath routing scheme based on perceptual information assistance is designed.Multi-path routing can establish and reserve multiple paths to deal with emergencies,so it has better performance than single-path routing in load balancing,fault tolerance,robustness and other aspects.Therefore,under the condition of making full use of the perceived information in the network environment,we optimized the original UAV multipath path,and its performance indicators have been improved to a certain extent.At the same time,based on the cyclic queue forwarding model in time-sensitive networks,this paper also improves a cyclic queue scheduling mechanism based on timeslot to reduce the scheduling queue delay between nodes.Finally,the performance of the proposed method is verified by theory and simulation.