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基于预测的节能数据分发机制
引用本文:胡 宁,孙钦东,张德运.基于预测的节能数据分发机制[J].计算机工程,2007,33(10):103-104,107.
作者姓名:胡 宁  孙钦东  张德运
作者单位:西安交通大学电子与信息工程学院,西安710049
基金项目:国家高技术研究发展计划(863计划)
摘    要:为减少无线传感器网络的数据流量,提出了一种基于预测的数据分发机制.在源节点和sink节点分别配置相同参数的预测器,用以预测未来采样值.当在源节点处预测值和实际采样值的差异大于某门限值时,当前采样数据才会被传送到sink节点.预测器采用双指数平滑预测模型,根据历史数据去预测未来数据.实验表明,该节能的数据分发机制可以滤除83%的冗余数据而仍然保持较高的精度.

关 键 词:无线传感器网络  预测模型  节能策略  预测模型  节能  数据分发  机制  Forecast  Based  Dissemination  精度  冗余数据  实验  历史  双指数平滑  采样数据  门限值  差异  预测值  采样值  预测器  参数  配置
文章编号:1000-3428(2007)10-0103-02
修稿时间:2006-05-25

Energy-saving Data Dissemination Based on Forecast
HU Ning,SUN Qindong,ZHANG Deyun.Energy-saving Data Dissemination Based on Forecast[J].Computer Engineering,2007,33(10):103-104,107.
Authors:HU Ning  SUN Qindong  ZHANG Deyun
Abstract:In order to decrease the traffic in the wireless sensor networks, a data dissemination scheme based on forecast is presented. Two matching predictors with the same parameters are deployed at the source and the sink respectively, which predict the next immediate sampling value simultaneously. The sampling value is sent to the sink only when the difference between the actual and the predicted value at the source exceed~s a certain threshold. The predictors adopt the double exponential smoothing forecast model to estimate the future values based on the past samples. The experiment results show that this energy-saving data dissemination scheme is very effective, which can filter about 83% data and remain high precision yet.
Keywords:Wireless sensor networks  Forecast model  Energy-saving policy
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