The Media Relay Selection Strategy Based on Particle Swarm Optimization Algorithm
In large-scale streaming media business,media relay is mainly responsible for distribu-ting streams.When the performance of the selected media relay is not good,it will affect the quality of user experience.In order to solve the above problems,a relay selection strategy based on particle swarm optimization algorithm is proposed in this paper.Firstly,the algorithm opti-mizes the particle position on the basis of Logistic mapping,and takes the number of iterations as the influence factor of inertia weight in the algorithm,and optimizes the position update formu-la and speed update formula in the particle swarm optimization algorithm.By comparing the simulation results with the experimental results of other particle swarm optimization algo-rithms,it is verified that the proposed algorithm can effectively improve the probability of media relay selection.
Particle Swarm OptimizationLogistic Mappingstreaming MediaRelay selectionNetwork performance Index