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[期刊论文]

Efficient management of ubiquitous location information using geospatial grid region name

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author:

Zhu, Daoye (Zhu, Daoye.) [1] | Huang, Min (Huang, Min.) [2] | Lin, Qifeng (Lin, Qifeng.) [3] | Unfold

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Scopus SCIE

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.

Keyword:

Geospatial grid region name Geospatial region space Grid management Subdivision index big table Ubiquitous location information

Community:

  • [ 1 ] [Zhu, Daoye]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 2 ] [Lin, Qifeng]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China
  • [ 3 ] [Zhu, Daoye]Peking Univ, Ctr Data Sci, Beijing 100871, Peoples R China
  • [ 4 ] [Cheng, Chengqi]Peking Univ, Ctr Data Sci, Beijing 100871, Peoples R China
  • [ 5 ] [Zhu, Daoye]Univ Toronto, Dept Geog Geomat & Environm, Mississauga, ON L5L 1C6, Canada
  • [ 6 ] [Huang, Min]Jiangxi Normal Univ, Sch Geog & Environm, Nanchang 330022, Peoples R China
  • [ 7 ] [Huang, Min]Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China
  • [ 8 ] [Wang, Yanyu]Zhejiang Univ, Coll Environm & Resource Sci, Hangzhou 310058, Peoples R China
  • [ 9 ] [Li, Shuang]Fudan Univ, Inst Chinese Hist Geog, Shanghai 200433, Peoples R China
  • [ 10 ] [Cheng, Chengqi]Peking Univ, Coll Engn, Beijing 100871, Peoples R China

Reprint 's Address:

  • [Lin, Qifeng]Fuzhou Univ, Coll Comp & Data Sci, Fuzhou 350108, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION

ISSN: 1569-8432

Year: 2025

Volume: 137

7 . 6 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

30 Days PV: 3

Online/Total:76/10075361
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