摘要
研究多路径路由网络通信优化均衡问题,由于网络中通信量增多时,链路因为数据量太大用而产生通信链路拥塞的现象。针对传统的多路径路由网络通信中,造成通信不畅的问题,提出一种基于粒子群优化的多路径路由负载均衡的算法,通过粒子群算法感知链路状态,提取多个链路性能指标,动态选择能够快速实现通信的最优路径,避免了重复选取权值和最小的路径通信造成的通信拥塞而带来的通信实时性不高的问题。仿真证明,粒子群优化的多路径路由负载均衡算法,能够保证选取合适的通信网络,完成实时通信,取得了满意的效果。
Research multi-path routing of network communication.In traditional multipath routing network communication,when network traffic increases,the amount of data is too large,,causing communications link congestion phenomenon.This paper presents a particle swarm optimization based multi-path routing load balancing algorithm.The PSO perceived the link status,extracted more performances,and dynamicly selected the optimal communication path for quick communication,to avoid the duplication of choosing values and the path of least traffic congestion caused by low real-time communication.Experiments show that the particle swarm optimization based multi-path routing load balancing algorithms can ensure the complete real-time communication,and achieve satisfactory results.
出处
《计算机仿真》
CSCD
北大核心
2011年第11期118-121,共4页
Computer Simulation
关键词
粒子群
多路径路由
通信拥塞
PSO
Multi-path routing
Traffic congestion
