Efficient management of ubiquitous location information using geospatial grid region name

Daoye Zhu , Min huang , Qifeng Lin , Yanyu Wang , Shuang Li , Chengqi Cheng
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Abstract

With the increasing popularity of sensors and the rapid advancement of network infrastructure and communication technology, managing, retrieving, and applying ubiquitous location information (ULI) poses a significant challenge. This study introduces the concept of the geospatial grid region name (GGRN) and proposes a ULI management method based on the GGRN (UMMG). To evaluate the feasibility and retrieval efficiency of the UMMG, it was applied to mainstream databases and compared with their spatial expansion modules. The experimental results demonstrate that the UMMG effectively addresses the challenge of precise location cognition between humans and machines while also reducing the complexity of spatial database indexing, with an overall performance improvement of 43.00 % compared to Oracle Spatial and 33.30 % compared to PostgreSQL + PostGIS.
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利用地理空间网格区域名称高效管理无处不在的位置信息
随着传感器的日益普及以及网络基础设施和通信技术的快速发展,无处不在位置信息的管理、检索和应用提出了重大挑战。本文引入地理空间网格区域名称(GGRN)的概念,提出了一种基于地理空间网格区域名称的ULI管理方法(UMMG)。为了评估UMMG的可行性和检索效率,将其应用于主流数据库,并与它们的空间扩展模块进行了比较。实验结果表明,UMMG有效地解决了人与机器之间的精确位置认知问题,同时降低了空间数据库索引的复杂性,总体性能比Oracle spatial提高43.00%,比PostgreSQL + PostGIS提高33.30%。
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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