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Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18–21, 2019, Proceedings

Research Article

A Filtering Dimension Reduction Decoding Algorithm for Underwater Acoustic Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-37262-0_23,
        author={Lijuan Wang and Xiujuan Du and Chong Li and Duoliang Han and Jianlian Zhu},
        title={A Filtering Dimension Reduction Decoding Algorithm for Underwater Acoustic Networks},
        proceedings={Ad Hoc Networks. 11th EAI International Conference, ADHOCNETS 2019, Queenstown, New Zealand, November 18--21, 2019, Proceedings},
        proceedings_a={ADHOCNETS},
        year={2020},
        month={1},
        keywords={Underwater acoustic network Reliable transmission Digital fountain code Recursive LT Filtering dimension reduction},
        doi={10.1007/978-3-030-37262-0_23}
    }
    
  • Lijuan Wang
    Xiujuan Du
    Chong Li
    Duoliang Han
    Jianlian Zhu
    Year: 2020
    A Filtering Dimension Reduction Decoding Algorithm for Underwater Acoustic Networks
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-030-37262-0_23
Lijuan Wang,*, Xiujuan Du,*, Chong Li, Duoliang Han, Jianlian Zhu
    *Contact email: 1041517271@qq.com, dxj@qhnu.edu.cn

    Abstract

    Underwater acoustic channels are fragile. Reliable data transmission in underwater acoustic networks (UANs) faces tough challenges. Digital Fountain Code (DFC) is an efficient rateless error-correcting coding technique, in which the redundancy is not fixed and can be decided on the fly as the channel evolves. Thus, DFC is considered near-optimal for underwater acoustic channels. A recursive LT (RLT) code is a DFC tailored for underwater acoustic networks, which allows for lightweight implementation of an encoder and a decoder. Based on the analysis of the RLT algorithm, this paper proposes a filtering dimension reduction (FDR) decoding algorithm for underwater acoustic networks. The FDR decoding algorithm executes XOR operations on the encoded packets in a strict short ring of a generating a matrix to reduce the dimensions of the encoded packets, or generate 1-degree encoded packets. As a result, the FDR algorithm can increase the number of 1-degree encoded packets and reduce the decoding complexity. Moreover, the FDR algorithm can eliminate the waiting time for a traditional decoding algorithm to receive the 1-degree packets, and achieve fast decoding. Simulation results based on NS3 show that the decoding success rate of the FDR algorithm is higher than that of the RLT algorithm.

    Keywords
    Underwater acoustic network Reliable transmission Digital fountain code Recursive LT Filtering dimension reduction
    Published
    2020-01-03
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-030-37262-0_23
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