计算机工程与应用Issue(10)：78-81,151,5.DOI:10.3778/j.issn.1002-8331.1302-0016
基于压缩感知的无线传感网络数据压缩
Data compression based on compressed sensing in Wireless Sensor Networks
摘要
Abstract
Wireless Sensor Networks(WSN)are responsible for sensing, collecting, processing and monitoring environ-mental data, but resource is easily limited. The newly emerging Compressed Sensing(CS)theory holds that sparse signals can be exactly reconstructed with high probability from a small amount of non-adaptive linear measurement through opti-mization. A data compression method which is dependent only on the structure and content of the signal, rather than the bandwidth of the signal is designed by sparse random projections through network coding. The results of simulation show that this system not only improves the efficiency of WSN communication by reducing packets to 30% number of nodes, but also reduces the system energy consumption under the error requirement.关键词
压缩感知/无线传感器网络/分布式压缩感知/随机投影/分布式数据压缩Key words
compressed sensing/Wireless Sensor Networks/distributed compressed sensing/random project/distributed data compression分类
信息技术与安全科学引用本文复制引用
史久根,刘胜..基于压缩感知的无线传感网络数据压缩[J].计算机工程与应用,2014,(10):78-81,151,5.基金项目
国家自然科学基金（No.60873195）；安徽省国际科技合作计划项目（No.10080703001）。 （）
