南京理工大学学报（自然科学版）2017，Vol.41Issue(1)：47-58,12.DOI:10.14177/j.cnki.32-1397n.2017.41.01.007
传感数据世系的有效压缩传输与查询方法
Efficient compression propagating and querying method forsensor data lineage
摘要
Abstract
In order to analyze the reason that generates the abnormal data in sensor network applications effectively and to construct the tracing chain,we propose a transmission and storage method based on compressed sensing and column stored theory for the sensor data lineage,called CPSQSDL(Compressed propagating,storing and querying of sensor data lineage),in this paper.We analyze the temporal and spatial correlation among the sensor data lineages of events,and find a suitable randomized projection observation matrix to ensure that k-term optimal reconstruction error.We describe the formal definition of compressed sensor lineage and design an algorithm for querying approximate lineage and formal proof of its error boundary.Experiments on the real data set prove the effectiveness of the proposed method.关键词
传感数据世系/压缩感知/列存储/时空相关/近似查询Key words
sensor data lineage/compressed sensing/column storage/temporal and spatial correlation/approximate query分类
信息技术与安全科学引用本文复制引用
伍转华,潘立,王永利..传感数据世系的有效压缩传输与查询方法[J].南京理工大学学报（自然科学版）,2017,41(1):47-58,12.基金项目
国家自然科学基金(61170035 （）
61272420) （）
江苏省"六大人才高峰"高层次人才项目(WLW-004) （WLW-004）
中央高校基本科研业务费专项资金项目(30916011328) （30916011328）
江苏省科技成果转化专项资金项目(BA2013047) （BA2013047）
