摘要
压缩感知是近几年来发展起来的理论,首先对压缩感知理论做了简单的介绍,重点阐述了WSN中基于地理相关性分布式压缩感知理论。在电力信息采集系统中,信息量比较大,所需传感器节点数目繁多,数据的传输量也很大,对数据进行压缩是减少数据传输量的有效途径,根据实际应用情况,选用了基于地理相关性分布式压缩感知理论对网络层数据进行压缩,并取得了理想的实验结果。
Compressive sensing is the theory developed in recent years. Firstly the compressive sensing theory is introduced briefly, and the emphasis is on distributed compressive sensing theory based on geographical correlation in wireless sensor network （WSN）. In electrical power information acquisition system, the amount of information is large, the number of sensor nodes is various, and the amount of data transmission is massive, so compressing the data is an effective way to reduce the amount of data transmission. According to the actual application, the distributed compressive sensing theory based on geographical correlation theory is selected to compress the data of network layers, which obtains an ideal result.
出处
《四川电力技术》
2016年第6期54-58,共5页
Sichuan Electric Power Technology
关键词
物联网
DCS
压缩
分布式
internet of thing （IoT）
DCS
compressed
distributed
