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Fishery Data Distribution System Based on Distance Prior Network Coding Strategy with Buffer Mapping Mechanism

机译:基于距离现有网络编码策略的渔业数据分配系统,缓冲映射机制

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Marine fishery production safety has always been a livelihood issue of high concern to government departments at all levels in China. With the construction of marine informatization, a large number of fishing vessels have entered the Vessel Monitoring System (VMS). The massive, highly concurrent, and continuous track data generated by these vessels has posed great challenges to real-time data distribution. To cope with low distribution efficiency in the original data distribution system, this paper proposed a data distribution model based on the combination of network coding and UDP, which improves both reliability and efficiency of data distribution. In order to further enhance the efficiency of data distribution, a Codeword Distance Priority Protocol based on Buffer Map (CDPPBM) was added to the proposed model for the concentration of innovative codewords in the network, thereby increasing the effectiveness of data received by nodes. Experimental results show that the protocol proposed in this paper improves the data distribution efficiency by about 75% on average, compared with the LT code. The influence of data block size on network coded data distribution system is not involved in the previous work. Therefore, this paper discusses the Block to Piece Protocol (BPP) for large files, divides large files into fixed sizes equally, and distributes data blocks multiple times to find the optimal piece size. The experimental results show that there is an optimal for large files of different sizes, which can maximize the efficiency of data distribution.
机译:海洋渔业生产安全始终是中国各级政府部门高度关切的生命问题。随着海洋信息化的建设,大量的渔船已进入船舶监测系统(VMS)。这些船产生的大规模,高度并发和连续的跟踪数据对实时数据分布构成了巨大挑战。为了应对原始数据分布系统的低分配效率,本文提出了一种基于网络编码和UDP组合的数据分布模型,从而提高了数据分布的可靠性和效率。为了进一步提高数据分布的效率,将基于缓冲映射(CDPPBM)的码字距离优先级协议添加到所提出的网络中的创新码字集中的模型,从而提高节点接收的数据的有效性。实验结果表明,与LT编码相比,本文提出的协议将数据分布效率提高了约75%。数据块大小对网络编码数据分发系统的影响不涉及前一个工作。因此,本文讨论了大文件的转换协议(BPP)块,将大文件划分为固定大小,并多次分发数据块以查找最佳件尺寸。实验结果表明,对于不同尺寸的大文件,可以最大限度地提高数据分布的效率。

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