现代电子技术2016，Vol.39Issue(23)：43-46,4.DOI:10.16652/j.issn.1004-373x.2016.23.011
基于组合优化理论的无线网络流量建模与预测
Modeling and forecast of wireless network traffic based on combinatorial optimization theory
陈华峰 1刘家宁2
作者信息
- 1. 海南师范大学 信息科学技术学院，海南 海口 571158
- 2. 海南广播电视大学 琼海远程教育学院，海南 琼海 571400
- 折叠
摘要
Abstract
Since the wireless network traffic is synthetically affected by the factors of online cost and online behavior,it has the characteristics of randomness and periodic variation. To solve the difficulty that the single model can′t describe the change characteristic comprehensively,a wireless network traffic prediction model based on combinatorial optimization theory is put forward. The autoregressive integral moving average model is used to build the proposed model to find out the periodic varia⁃tion rule of the wireless network traffic,the relevance vector machine is used to establish the model to find out the random varia⁃tion characteristics of the wireless network traffic,and then the two prediction results are combined to realize the single step and multi⁃step wireless network traffic prediction experiments. The results show that the proposed model can describe the characteris⁃tics of randomness and periodic variation,and its prediction accuracy is higher than that of the single autoregressive integral moving average model or correlation vector machine.关键词
无线网络/自回归积分滑动平均模型/建模与预测/组合优化理论Key words
wireless network/autoregressive integral moving average model/modeling and prediction/combinatorial opti-mization theory分类
信息技术与安全科学引用本文复制引用
陈华峰,刘家宁..基于组合优化理论的无线网络流量建模与预测[J].现代电子技术,2016,39(23):43-46,4.
