吉林大学学报（理学版）2016，Vol.54Issue(3)：575-579,5.DOI:10.13413/j.cnki.jdxblxb.2016.03.30
基于压缩感知理论的无线传感器网络数据融合算法
Wireless Sensor Network Data Fusion Algorithm Based on Compressed Sensing Theory
摘要
Abstract
Aiming at the dense of sensor nodes,the overlapping area of the node coverage was large, resulting in the problem of large data redundancy.Using temporal and spatial correlation of nodes collect data,we proposed a data fusion algorithm based on compressive sensing theory for wireless sensor network (WSN),and analyzed its performance via simulation experiment.The experimental results show that the proposed algorithm can not only reduce the data transmission amount of the cluster head and reduce the average energy consumption of node to prolong the survival time of the network,but also the performance is obviously better than the contrast algorithm.关键词
无线传感器网络(WSN)/数据融合算法/网络寿命/压缩感知Key words
wireless sensor network (WSN )/data fusion algorithm/network time/compressed sensing分类
信息技术与安全科学引用本文复制引用
费贤举,李晓芳..基于压缩感知理论的无线传感器网络数据融合算法[J].吉林大学学报（理学版）,2016,54(3):575-579,5.基金项目
江苏省高校自然科学研究项目(批准号:14KJB520003) （批准号:14KJB520003）
