摘要
无线传感器网络(WSN)的流量预测研究对WSN管理有重要的意义。提出基于ARMA的网络流量实时在线预测模型,并对该预测模型进行了推导分析;在仿真平台中实现了算法,并对仿真结果进行了分析和统计,仿真结果显示预测模型有效提高了无线传感器网络流量的预测精度。
The traffic prediction in Wireless Sensor Network （WSN） is important to WSN management. Purpose of the paper： The paper presents a real-time online prediction model for network traffic based on ARMA, deriving analysis of the prediction model is carried out ; Result and Conclusion： The algorithm was realized on a simulated platform, and the simulation results were analysed. The statistical results show that the prediction model improves effectively the prediction accuracy of wireless sensor network traffic.
出处
《计算机应用与软件》
CSCD
2009年第6期75-76,共2页
Computer Applications and Software
基金
陕西省自然科学基础研究计划项目(2006F50)
