Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1

Research Article

Joint Channel-Network Coding (JCNC) for Distributed Storage in Wireless Network

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  • @INPROCEEDINGS{10.1007/978-3-642-02466-5_28,
        author={Ning Wang and Jiaru Lin},
        title={Joint Channel-Network Coding (JCNC) for Distributed Storage in Wireless Network},
        proceedings={Complex Sciences. First International Conference, Complex 2009, Shanghai, China, February 23-25, 2009. Revised Papers, Part 1},
        proceedings_a={COMPLEX PART 1},
        year={2012},
        month={5},
        keywords={Joint Channel-Network Coding(JCNC) Distributed Storage Wireless networks},
        doi={10.1007/978-3-642-02466-5_28}
    }
    
  • Ning Wang
    Jiaru Lin
    Year: 2012
    Joint Channel-Network Coding (JCNC) for Distributed Storage in Wireless Network
    COMPLEX PART 1
    Springer
    DOI: 10.1007/978-3-642-02466-5_28
Ning Wang1,*, Jiaru Lin1,*
  • 1: Beijing University of Posts and Telecommunications
*Contact email: bjxt713@gmail.com, jrlin@bupt.edu.cn

Abstract

We propose to construct a joint channel-network coding (knosswn as Random Linear Coding) scheme based on improved turbo codes for the distributed storage in wireless communication network with k data nodes, s storage nodes (k<s) and a data collector. This framework extends the classical distributed storage with erasure channel to AWGN and fading channel scenario. We investigate the throughput performance of the Joint Channel-Network Coding (JCNC) system benefits from network coding, compared with that of system without network coding based only on store and forward (S-F) approach. Another helpful parameter: node degree (L) indicates how many storage nodes one data packet should fall onto. L characterizes the en/decoding complexity of the system. Moreover, this proposed framework can be extended to ad-hoc and sensor network easily.