The Art of Error Correcting Coding
The Art of Error Correcting Coding
IEEE Transactions on Wireless Communications
Iterative decoding of binary block and convolutional codes
IEEE Transactions on Information Theory
Bilayer Low-Density Parity-Check Codes for Decode-and-Forward in Relay Channels
IEEE Transactions on Information Theory
An energy-efficient clustered distributed coding for large-scale wireless sensor networks
The Journal of Supercomputing
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In the paper, we proposed a distributed cooperative product coding scheme, for multi-source multi-relay single-destination network. The coding is jointly coded by sources and relays in a cooperative manner in two time slots. Sources send packets with row sub-code, and then relays add redundancy rows with systematic column sub-code. The iterative decoding algorithm is used to effectively decode the received block at destination. Simulation results showed an improvement of about 2.8dB, compared with non-cooperative soft-decode scheme. Numerical results also showed the proposed system is insensitive to power allocation and relay position. The encoding process in sources and relays are of linear complexity. As a result, it is suitable for power-limited systems like wireless sensors network. Also, the decoding algorithm at the destination(sink) node is parallel, which makes the destination decoding efficient and of low-complexity. Simulation results has shown a coarse power and/or distance planning is enough for power allocation and relays' position.