Low Cost Error Correction for Multi-Hop Data Aggregation Using Compressed Sensing
Guangming CAO; Peter JUNG; Slawomir STANCZAK; Fengqi YU
刊名IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
2014
英文摘要Packet loss and energy dissipation are two major challenges of designing large-scale wireless sensor networks. Since sensing data is spatially correlated, compressed sensing (CS) is a promising reconstruction scheme to provide low-cost packet error correction and load balancing. In this letter, assuming a multi-hop network topology, we present a CS-oriented data aggregation scheme with a new measurement matrix which balances energy consumption of the nodes and allows for recovery of lost packets at fusion center without additional transmissions. Comparisons with existing methods show that the proposed scheme offers higher recovery precision and less energy consumption on TinyOS.
收录类别SCI
原文出处https://www.jstage.jst.go.jp/article/transinf/E97.D/2/E97.D_331/_article
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/5379]  
专题深圳先进技术研究院_集成所
作者单位IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
推荐引用方式
GB/T 7714
Guangming CAO,Peter JUNG,Slawomir STANCZAK,et al. Low Cost Error Correction for Multi-Hop Data Aggregation Using Compressed Sensing[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2014.
APA Guangming CAO,Peter JUNG,Slawomir STANCZAK,&Fengqi YU.(2014).Low Cost Error Correction for Multi-Hop Data Aggregation Using Compressed Sensing.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS.
MLA Guangming CAO,et al."Low Cost Error Correction for Multi-Hop Data Aggregation Using Compressed Sensing".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (2014).
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