COMPRESSIVE LINEAR NETWORK CODING FOR EFFICIENT DATA COLLECTION IN WIRELESS SENSOR NETWORKS

被引：0

作者：

Bassi, Francesca ^{[1
]}

Liu, Chao ^{[1
]}

Iwaza, Lana ^{[1
]}

Kieffer, Michel ^{[1
]}

机构：

[1] Univ Paris 06, LSS, CNRS, SUPELEC, F-91192 Gif Sur Yvette, France

来源：

2012 PROCEEDINGS OF THE 20TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2012年

关键词：

Belief Propagation; Network Coding; Finite fields; Wireless Sensor Networks;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We address the problem of data collection in a wireless sensor network. Network coding is used for data delivery. The correlation between the measurements is exploited to recover the data at the sink, even in case of rank-deficient network matrix. The network coding operations are seen as lossy source compression, achieved by a finite-field random code generated during transmission. Decoding is performed using belief propagation on a factor graph which accounts for the correlation between the sensor measurements. Experimental results illustrate the performance of this technique for various field sizes and correlation levels.

引用

页码：714 / 718

页数：5

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