计算机工程与应用2012，Vol.48Issue(36)：112-115,4.DOI:10.3778/j.issn.1002-8331.1107-0006
改进的神经网络EPON动态带宽分配方法
Improved neural network algorithm in EPON Dynamic Bandwidth Allocation
摘要
Abstract
Dynamic Bandwidth Allocation (DBA) is a key technology of EPON. The paper proposes an improved polling algorithm, adjusts the order of ONU authorization time slot according to the data traffic flow burst characteristics, constructs a neural network prediction model in Particle Swarm Optimization (PSO), enhances the ONU added data prediction precision in the polling cycle, and thus guarantees bandwidth allocation fairness. The simulation proves that the algorithm performs better in the improvement of bandwidth utilization and has a smaller average packet delay compared with traditional DBA.关键词
以太网无源光网络(EPON)/动态带宽分配/公平性/人工神经网络/微粒群Key words
Ethernet Passive Optical Network (EPON)/ Dynamic Bandwidth Allocation (DBA)/ fairness/ Artificial Neural Network(ANN)/ Particle Swarm Optimization (PSO)分类
信息技术与安全科学引用本文复制引用
江晓明,朱娜,董亮,李杰..改进的神经网络EPON动态带宽分配方法[J].计算机工程与应用,2012,48(36):112-115,4.基金项目
国家自然科学基金(No.60702056) （No.60702056）
江苏大学大学生实践创新训练计划项目(No.2010060). （No.2010060）
