Research On AOS Intelligent Frame Generation Algorithm Based On Particle Swarm Optimization Prediction

As an information technology with great development potential,space communication technology has always attracted attention at home and abroad.The advanced orbiting system(AOS)is widely used because of its high rate data transmission in space communication.In recent years,the requirements for spatial data transmission are also rising as the aerospace developing rapidly.AOS protocol adopts multiplexing mechanism,which can effectively reduce transmission delay and improve the performance of space communication system.A large number of studies have shown that network traffic data has self-similar characteristics,so this paper introduces the traffic prediction module into the AOS multiplexing model to further optimize the system performance.Firstly,the self-similarity feature is introduced,and the self-similarity of network traffic is further explained.The self-similarity of traffic makes traffic predictable,so a network traffic prediction model is established.In order to improve the transmission efficiency and reduce the system delay,this paper adopts the improved particle swarm optimization to optimize the back propagation network to realize the traffic prediction.Through the Matlab simulating,the optimized network has better prediction performance than the traditional back propagation network.Next,the AOS protocol and AOS frame generation module system model are introduced.In addition,three frame generation algorithms,namely,time-equivalent frame generation,high-efficiency frame generation and adaptive frame generation,are described and compared.According to the average packet delay and reuse efficiency of the system,an improved AOS intelligent frame generation algorithm is proposed.This algorithm uses ant colony algorithm to optimize the threshold intelligently.Finally,a new AOS multiplexing model is obtained by combining the optimized AOS frame generation module with the virtual channel scheduling module.The whole system model is simulated on the Matlab platform,and the prediction accuracy is compared by whether or not joining the improved particle swarm optimization algorithm,and the overall performance of the system is compared by whether or not introducing the flow prediction module.The improved AOS multiplexing model has more efficient data transmission performance in space communication.