基于粒子群优化算法的媒体中继选择策略  

The Media Relay Selection Strategy Based on Particle Swarm Optimization Algorithm

作　　者：王溪波[1] 王硕 WANG Xibo;WANG Shuo(School of Infomation Science and Engineering,Shenyang University of Technology,Shenyang 110870,China)

机构地区：[1]沈阳工业大学信息科学与工程学院,辽宁沈阳110870

出　　处：《长江信息通信》2024年第7期1-4,33,共5页Changjiang Information & Communications

基　　金：辽宁省自然科学基金(面上)项目(2022-MS-438);辽宁省教育厅基本科研项目(LJKFZ20220184)。

摘　　要：在大规模的流媒体业务中,媒体中继主要负责分发流。当被选择的媒体中继性能状态不好时,会影响到用户体验质量。为解决上述问题,文章提出了一种基于粒子群优化算法的中继选择策略。该算法首先在Logistic映射基础上,优化粒子位置,并将迭代次数作为算法中惯性权重的影响因子,优化了粒子群算法中的位置更新公式与速度更新公式。通过仿真实验结果与其他粒子群算法的实验结果进行对比,验证了该文提出的算法能够有效的提升对媒体中继择优概率。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 proposcd 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 cxperimental results of other particle swarm optimization algo-rithms,it is verified that the proposed algorithm can effectively improve the probability of media relay selection.

关 键 词：粒子群算法 LOGISTIC映射 流媒体 中继选择 网络性能指标 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]