传感技术学报Issue(11)：1562-1567,6.DOI:10.3969/j.issn.1004-1699.2014.11.022
压缩感知在无线传感器网络数据采集中的应用
Compressed Sensing for Data Collection in Wireless Sensor Network
王泉 1张纳温 1张金成 1吕方旭 1王钰 1陈可伟1
作者信息
- 1. 空军工程大学防空反导学院，西安710051
- 折叠
摘要
Abstract
An efficient data collection method in wireless sensor network( WSN) was proposed based on Compressed Sensing( CS) . Firstly,the Cyclic-Sparse-Bernoulli Measurement( CSBM) matrix was presented which is suitable for application in resource-constrained sensor node. The CSBM matrix is constructed using the structured approach with cyclic-sparse matrix and Bernoulli pseudo-randomness sequence,which have a series advantages,such as less non-zero elements,good property of pseudo-randomness and easy implementation in hardware. The Simulation and exper-iment show that considering the precision of signal reconstruction, the CSBM matrix can reach the less compress sampling rate( CSR) compared to other types of measurement matrix. In the application of data collection in WSN, the sensor node can acquire less data through CS measurement,which reduce data traffic in WSN.关键词
压缩感知/无线传感器网络/数据采集/观测矩阵Key words
compressed sensing/wireless sensor network/data collection/measurement matrix分类
信息技术与安全科学引用本文复制引用
王泉,张纳温,张金成,吕方旭,王钰,陈可伟..压缩感知在无线传感器网络数据采集中的应用[J].传感技术学报,2014,(11):1562-1567,6.
