摘要
传统信息融合技术更注重信息融合精度,对聚合节点时域的分配不全面,导致信息回传时延消耗较长。为此,研究船用物联网的信息融合关键技术。计算节点聚合概率和融合收益,确定路由路径的最高传输时间,获取融合信息的航标和浮标位置信息,关联信息数据点迹,对准数据时域和空域,实现信息融合。此次提出方法与传统方法进行对比实验,模拟船用物联网环境,融合雷达采集信息,结果表明,所提方法缩短了信息回传时延349.4 ms,提高了信息融合效率。
The traditional information fusion technology pays more attention to the accuracy of information fusion, and the time-domain allocation of aggregation nodes is not comprehensive, resulting in a long time delay consumption of information return. Therefore, the key technology of information fusion in marine Internet of things is studied. The node aggregation probability and fusion revenue are calculated, the maximum transmission time of routing path is determined, the position information of navigation buoy and buoy, the associated information data plot, and the data time domain and space domain are aligned to realize information fusion. The results show that the proposed method shortens the information return delay of 349.4 ms and improves the efficiency of information fusion.
作者
徐鲁宁
郭晓功
XU LU-ning;GUO Xiao-gong(Jiujiang Vocational and Technical Collage,Jiujiang 332007,China)
出处
《舰船科学技术》
北大核心
2020年第22期196-198,共3页
Ship Science and Technology
基金
江西省教育厅科学技术研究项目(GJJ181210)
关键词
船用物联网
信息融合
融合时域
位置特征
Marine Internet of things
information fusion
fusion time domain
location feature
作者简介
徐鲁宁(1981-),男,硕士,副教授,研究方向为物联网及嵌入式技术。
