通信学报2018，Vol.39Issue(2)：164-173,10.DOI:10.11959/j.issn.1000-436x.2018034
基于压缩感知与矩阵补全技术的WSN数据收集算法
WSN data gathering algorithm based on compressive sensing and matrix completion technique
摘要
Abstract
The unreliable links and packet losing are ubiquitous in WSN. The performance of data collection algorithm based on compressive sensing is sensitive to packet losing. Firstly, the relationship between packet loss rate and CS-based reconstruction precision was analyzed, and the sparsest block measurement (SBM) matrix was formulated to keep the da-ta gathering consumption smallest and make sure the low-rank property of measurements. Then, combined with the ma-trix completion (MC) and compressive sensing (CS), the CS data gathering algorithm based on sparsest block measure-ment matrix (CS-SBM) algorithm was proposed. CS-SBM gathered data in a period and recovered the loss data based on MC to weaken the impact of packet loss on data gathering. CS-SBM reconstructed data based on CS to reduce measure-ment number and energy consumption and prolong the network lifetime. Simulation analysis indicates that the proposed algorithm reconstruct the whole data with high-accuracy under 50% packet loss rate, resisting unreliable links effectively.关键词
无线传感网/数据收集/压缩感知/不可靠链路/矩阵补全技术Key words
WSN/data gathering/compressive sensing/unreliable link/matrix completion technique分类
信息技术与安全科学引用本文复制引用
张策,李鸥,童昕,杨延平..基于压缩感知与矩阵补全技术的WSN数据收集算法[J].通信学报,2018,39(2):164-173,10.基金项目
国家科技重大专项基金资助项目(No.2016zx03001010)Foundation Item: The National Science and Technology Major Project of China (No.2016zx03001010) （No.2016zx03001010）
