Joint Distributed Source and Network Coding for Correlated Information Multicasting

被引：0

作者：

Gao, Shaoshuai ^{[1
]}

机构：

[1] Chinese Acad Sci, Grad Univ, Sch Informat Sci & Engn, Beijing, Peoples R China

来源：

2011 6TH INTERNATIONAL ICST CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM) | 2011年

关键词：

Distributed source coding; network coding; multicasting; sensor networks; BINARY SOURCES; CODES; COMPRESSION; DESIGN;

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：

The problem of correlated information multicasting is considered in this paper, i.e., from multiple sources to multiple destinations through a network. It can be solved by jointly optimizing the distributed source coding and network coding. Previous research found that optimal performance can be achieved with unlimited decoding complexity, which cannot be applied in practical implementations. Some practical methods were also presented, which shows sub-optimal performance. To improve the coding performance and keep the low complexity of the algorithm, an adaptive coding and transmission scheme according to the conditional entropy of the sources is proposed. It has been demonstrated that the proposed scheme can achieve better performance compared with the existing ones.

引用

页码：698 / 702

页数：5

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