物联网异构数据库分层访问算法仿真  

Simulation of Hierarchical Access Algorithm for Heterogeneous Databases in Internet of Things

作　　者：李玉光 郗海龙 LI Yu-guang;XI Hai-long(College of Science,North China University of Science and Technology,Tangshan Hebei 063210,China)

机构地区：[1]华北理工大学理学院,河北唐山063210

出　　处：《计算机仿真》2023年第3期490-493,498,共5页Computer Simulation

基　　金：河北省高等学校人文社会科学研究重点项目(SD201007)。

摘　　要：由于用户及信息量过大,导致物联网异构数据访问时常出现访问结果残缺和数据库访问不完全问题,影响使用者体验感,于是提出DAS模型下物联网异构数据分层访问算法。利用二元时间序列描述异构数据库,得到数据语义状态及特征文本,分析异构分层数据库结构,计算访问信号同时得出多维矢量空间。建立带有三种机构的数据库策略分层,在DAS模型帮助下通过二值独立检索词汇与异构数据库间共现频率,得出数据的相似度。获取大量局部关联表,并将其综合生成全局关联表,综合获取用户想要的内容,实现物联网异构数据分层访问。实验结果表明,所提算法的分层成功概率高和访问命中率高,且访问延时短,给用户带来极佳的使用体验。Due to excessive information,the access results of IoT heterogeneous data and the database access are often incomplete,affecting the user experience.Therefore,a hierarchical access algorithm for IoT heterogeneous data based on the DAS model was proposed.Firstly,binary time series was used to describe the heterogeneous database,thus obtaining the semantic state and feature text of data.Secondly,the structure of the heterogeneous hierarchical database was analyzed,and then the multidimensional vector space was obtained while calculating access signals.Moreover,a layered strategy of the database with three organizations was established.With the help of the DAS model,the co-occurrence frequency between binary independent retrieval words and heterogeneous databases was adopted to calculate the similarity of data,thus obtaining many local association tables.After that,they are synthesized to generate a global association table.Finally,we summarized the content that users want,and thus to achieve layered access to IoT heterogeneous data.Experimental results show that the proposed algorithm has high success probability in layering,high hit rate of access,and short access delay,which brings excellent experience to users.

关 键 词：物联网 异构数据 分层访问 全局关联表 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]