摘要
将JSM模型与无线传感器网络相互结合,在实际应用中通过节点采集相关数据,首先将这些数据输送至簇头节点,相应的簇头节点对传输过来的数据进行储存和处理,簇头节点还会针对节点传来的数据自动确立共同分量,接着测量共同分量与特征分量,测得的结果被传输至汇聚终端,最后重新构建和恢复传输来的信号。仿真结果显示,分布式压缩感知理论模型可以通过更少的测量值来还原出较精确的信号。
This paper will combine the JSM model and the wireless sensor network with each other, in the practical application through the node data collection, first will transfer these data to the cluster head node, cluster head node corresponding to the storage and processing of the data transmitted from the cluster head node but also for node data from the automatic establishment of common components, then measuring together the component and characteristics of components, the measured results are transmitted to the sink terminal, finally re construction and signal recovery to transmit. Simulation results show that the distributed compressed sensing theory model can be used to restore the more accurate signal with less measurement values.
出处
《科技通报》
北大核心
2017年第11期201-204,共4页
Bulletin of Science and Technology
基金
重庆市教委科学技术研究项目(kj130423)
关键词
压缩感知
数据压缩
无线传感器网络
JSM
compressed sensing
data compression
wireless sensor networks
JSM
