Title :
The research on joint distributed compressed sensing and network coding
Author :
Ding Fei ; Zhu Junhua ; Gu Peng ; Huang Jiandong
Author_Institution :
Coll. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
This paper proposes a transmission method of compressed sensing as a source processing technology combined with network coding. In wireless sensor networks, using compressed sensing and network coding technology jointly, not only can reduce the times of packet transmission, but also improves the efficiency of data transmission and the throughput of the network. The scheme in this paper takes full account of the intra-signal sparsity and inter-signal relativity in wireless sensor networks. Simulations show that the proposed scheme, compared to the only network coding scheme, improves the compression ratio of the data transmission.
Keywords :
compressed sensing; network coding; wireless sensor networks; compression ratio; data transmission; inter-signal relativity; intra-signal sparsity; joint distributed compressed sensing transmission method; network coding scheme; packet transmission; source processing technology; wireless sensor networks; Compressed sensing; Decoding; Encoding; Joints; Network coding; Sparse matrices; Wireless sensor networks; Distributed compressed sensing; Wireless sensor networks; compressed sensing; network coding;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
Conference_Location :
Dalian
DOI :
10.1109/ICCSNT.2013.6967248