现代电子技术Issue(18)：48-51,55,5.
基于压缩感知的无线传感器网络数据收集方案
Scheme of wireless sensor network data gathering based on compressed sensing
摘要
Abstract
A scheme of an improved data gathering based on compressed sensing(CS)in wireless sensor networks(WSN) for large-scale environmental monitoring is proposed in this paper. The approximate joint sparsity model(JSM)is modified to analyze data. The clustering routing is adopted to perform the data acquisition and transmission,that is to say,CS-based data gathering method is used within each cluster,and the shortest path routing is adopted between the cluster heads to reach the sink node. The simulation results show that the approach not only shrinks the distribution range of data processing and reduces the recovery error,but also greatly lessens the number of data transmission and maintains energy balance of the entire network.关键词
无线传感器网络/压缩感知/恢复误差/数据传输Key words
wireless sensor network/compressed sensing/recovery error/data transmission分类
信息技术与安全科学引用本文复制引用
江三林,吴多龙,苏成悦,王勇..基于压缩感知的无线传感器网络数据收集方案[J].现代电子技术,2014,(18):48-51,55,5.基金项目
2013年广东省信息产业发展专项广东省物联网芯片与系统应用技术工程中心 （）
