计算机应用与软件Issue(3)：99-103,5.DOI:10.3969/j.issn.1000-386x.2014.03.027
无线传感网中一种基于自回归模型的数据收集方案
A DATA COLLECTION SCHEME IN WIRELESS SENSOR NETWORKS BASED ON AUTO REGRESSIVE MODEL
摘要
Abstract
Data collection is a hot topic in wireless sensor networks currently.Aiming at the disadvantage of existing data collection methods,we propose an AR model-based data collection scheme.First,the scheme analyses the impact of sparsity variation of sensitive data on reconstruction performance,and then models the compressed sensing reconstruction based on the AR model,finally,the sink evaluates the reconstruction error using the temporal correlation,and decides whether or not to increase the times of measurements according to the requirements of reconstruction error,so as to realise the adaptive reconstruction of sensing data.Simulation experimental results show that our method is effective,and is superior to traditional methods in terms of the data reconstruction accuracy and the lifecycle of network.关键词
无线传感网/数据收集/自回归模型/测量次数/重构精度/网络生命周期Key words
Wireless sensor networks/Data collection/Auto regressive (AR)model/Measurement times/Reconstruction accuracy/Life-cycle of network分类
信息技术与安全科学引用本文复制引用
李余琪,甘金明,周顺先..无线传感网中一种基于自回归模型的数据收集方案[J].计算机应用与软件,2014,(3):99-103,5.基金项目
国家自然科学基金项目（51074097）；广西重大科技攻关项目（桂科攻12118017-6）；广西自然科学基金项目（2011GXNSFA018165）；广西教育厅科研重点项目（201102ZD034）。 （）
