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大数据环境下舰船监控信息传输路径规划算法
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  • 英文篇名:Route planning for ship monitoring information transmission in large data environment
  • 作者:吴杏 ; 曾康铭
  • 英文作者:WU Xing;ZENG Kang-ming;General Teaching Department, Nanning University;College of Information Engineering, Nanning University;
  • 关键词:大数据环境 ; 监控信息 ; 传输路径 ; 规划算法
  • 英文关键词:large data environment;;monitoring information;;transmission path;;planning algorithm
  • 中文刊名:JCKX
  • 英文刊名:Ship Science and Technology
  • 机构:南宁学院公共教学部;南宁学院信息工程学院;
  • 出版日期:2019-04-23
  • 出版单位:舰船科学技术
  • 年:2019
  • 期:v.41
  • 基金:2016年南宁学院教授培养工程资助项目(2016JSGC01)
  • 语种:中文;
  • 页:JCKX201908028
  • 页数:3
  • CN:08
  • ISSN:11-1885/U
  • 分类号:83-85
摘要
以往传输路径规划算法受到噪声影响,存在规划效果差的问题,为了解决该问题,提出大数据环境下舰船监控信息传输路径规划算法研究。通过组建通信链路干扰线路,可计算不同信道干扰电平,由此获取信道分配权重阈值,得到干扰最小信道。在该信道内,构建信息拓扑结构,保证每个信息节点有且仅有一个父节点,使用启发函数来指导搜索方向,采用优先队列key值更新权值大小,将所有目标节点状态变为连续状态,由此实现监控信息传输路径规划。通过实验对比结果可知,该算法规划效果较好,为舰船监控信息传输节省时间。
        Traditionally, the transmission path planning algorithm is affected by noise and has poor planning effect. In order to solve this problem, a research on the transmission path planning algorithm of warship monitoring information in large data environment is proposed. The interference level of different channels can be calculated by constructing interference lines of communication links. From this, the threshold of channel allocation weight can be obtained, and the minimum interference channel can be obtained. In this channel, the information topology structure is constructed to ensure that each information node has only one parent node. The heuristic function is used to guide the search direction. The priority queue key value is used to update the weight value, and the state of all the target nodes is changed into a continuous state, thus realizing the path planning of monitoring information transmission. The experimental results show that the algorithm has better planning effect and saves time for ship monitoring information transmission.
引文
[1]陈友荣,陆思一,任条娟,等.一种无线传感网的Sink节点移动路径规划算法研究[J].传感技术学报, 2017, 20(12):1933–1940.
    [2]莫文杰,郑霖.优化网络生命周期和最短化路径的WSN移动sink路径规划算法[J].计算机应用, 2017, 37(8):2150–2156.
    [3]李伟,景海涛,包安明,等.顾及精准定位的路径规划算法研究与实现[J].测绘科学, 2018, 241(7):145–152.
    [4]尹雅楠.视频监控图像去抖动视觉监测算法优化仿真[J].计算机仿真, 2017, 34(9):450–454.

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