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
收藏
页码：714 / 718
页数：5
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