大数据环境下信息传输路径规划算法研究

Q4 Engineering
Yunfan Lu, Zhenjia Zhu, Xu Tan
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引用次数: 0

摘要

信息传播路径规划有利于提高信息传播效率,符合时代发展的要求。然而,大多数信息传输路径计划基于ID格式来选择传输路径。该算法虽然可以使大数据环境中的节点达到汇聚节点的最优路径,但计算复杂度较高。因此,提出了一种大数据环境下基于入口优先级的信息传输路径规划算法。基于该算法,给出了一种信息传输路径规划的评估方法。然后建立了信息传输路径规划的分析模型。在此基础上,利用优先级多执行器实现了动态信息传输路径规划。实验表明,我们提出的方法可以有效地提高信息传输路径规划的效率,保证传输后信息的准确性,提高信息传输的质量。因此,我们提出的方法具有重要的应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on algorithm of information transmission path planning in big data environment
The information transmission path planning is conducive to the improvement of efficiency of information transmission, which matches requests of development of era. However, most of the information transmission path plans select transmission paths based on ID format. Although this algorithm can make nodes in big data environment reach the optimal path of sink node, it has high computational complexity. Therefore, an information transmission path planning algorithm based on an ingress-priority under big data environment is proposed. Based on this algorithm, a method for evaluating the information transmission path planning is obtained. Then analysis model of the information transmission path planning is constructed. Based on these, dynamic information transmission path planning is implemented by utilising priority multi-actuators. Experiments show that our proposed method can effectively improve the efficiency of information transmission path planning, ensure the accuracy of information after transmission and improve the quality of information transmission. Therefore, our proposed method is significant in application.
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来源期刊
International Journal of Internet Manufacturing and Services
International Journal of Internet Manufacturing and Services Engineering-Industrial and Manufacturing Engineering
CiteScore
0.70
自引率
0.00%
发文量
7
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