Research On Emergency Communication Network Coverage And Collaborative Deployment Based On Multiple Drones

Because the drone is small,low-cost,and can be deployed quickly,it can be used as the air router to provide signal services to terrestrial users.The use of drone communication can improve the service quality of traditional terrestrial communication networks and respond to emergencies and quickly restore communications in disaster areas and signal blind areas.However,there are few researches on the network coverage and deployment of drones,so it has certain research value.This thesis addresses the issue of drone communication and network coverage.This thesis mainly studies three problems.The first is the drone collaborative control technology,and the drone communication platform design;the second is the drone network performance analysis;the third is to design the drone deployment optimal algorithm.The solution of these problems is of great significance for realizing the coverage of drone networks.The main work of this thesis is as follows:Firstly,for the drone communication coverage problem,the drone collaborative control technology is introduced,and two perceptual models are analyzed.In view of the needs of drone deployment,this thesis studies the drone communication platform,including flight control system and flight service system.In order to realize the positioning and timing of the drone,the flight timing positioning module is designed to provide position and time information for the drone,the corresponding hardware resources,principles and software design flow are given to ensure that the drone platform completes complex flight missions and lays a foundation for drone deployment.Secondly,for the signal transmission problem of the drone,in order to ensure the reliability of the drone network,this thesis analyzes the performance of drone network.The first is the channel attenuation model analysis.By establishing the air-to-ground channel attenuation model,the variation law of signal attenuation is analyzed.Then the signal interference analysis is carried out based on Rayleigh fading,the relationship among the probability of signal transmission success and the signal-to-noise ratio and the height of the drone is found.Finally,the flying height of the drone is discussed,and the optimal height of each drone is determined by the sum of the signal attenuation.Through the quantitative analysis of the important parameters of the drone network,it provides a powerful basis for the drone optimal deployment.Thirdly,based on the special scenarios of complex pipe networks,in order to achieve the optimal deployment of drones,this thesis proposes the corresponding drone optimal deployment plan based on the work done above.Firstly,the complex pipeline network system model is designed,and the three-dimensional pipeline diagram model and the optimization objective function of the drone deployment are established.Then,in order to balance the signal coverage and the interference ratio,the two-stage multi-objective optimization deployment algorithm for the optimal deployment of the drone is designed to calculate the required number of drones and the optimal layout in the monitoring area.Finally,the key parameters affecting the optimization goal are analyzed and simulated,and the algorithm is compared with the greedy algorithm and clustering algorithm to verify the correctness and effectiveness of the algorithm.