NETWORK CODING LINK OPTIMIZATION PROBLEMS BASED ON GENETIC AND PARTICLE SWARM ALGORITHM

摘要：

　　Considering a multicast scenario,we want to minimize the coding nodes used for network coding while achieving the desired throughput.By using the genetic and particle swarm algorithm,this article solves the optimization of the network coding.According to the simulation results,it can be concluded that the genetic and particle swarm algorithm has faster convergence speed than the genetic algorithm in solving the problem of network coding optimization,and it can get better suboptimal value in a shorter period of time.

关键词： genetic and particle swarm algorithm network coding optimizing of network coding

作者: Xinjian Zhuo Jinrui Han Jincheng Han

作者单位: School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China Air Defence Force Academy of PLA,Zhengzhou 450052,China

会议类型: 国际会议

会议名称: 2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

会议地点: 杭州

会议语种:英文

页码: 44-47

在线出版日期: 2012-10-30（万方平台首次上网日期，不代表论文的发表时间）