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.
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Acknowledgment
This work is supported by the National Natural Science Foundation of China (Grant No. 61962052), the IoT Innovation Team Foundation of Qinghai Office of Science and Technology, the Key Lab of IoT of Qinghai, the Hebei IoT Monitoring Center (No. 3142016020) and Key Projects of Hebei Province (Grant No. 19270318D).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Wang, L., Du, X., Li, C., Han, D., Zhu, J. (2019). A Filtering Dimension Reduction Decoding Algorithm for Underwater Acoustic Networks. In: Zheng, J., Li, C., Chong, P., Meng, W., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-030-37262-0_23
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DOI: https://doi.org/10.1007/978-3-030-37262-0_23
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