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Implementation of quality coverage map system via wireless communication service and big data analysis

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dc.contributor.authorJoo, Hae-Jong-
dc.contributor.authorJeong, Hwa-Young-
dc.date.accessioned2024-09-26T09:02:42Z-
dc.date.available2024-09-26T09:02:42Z-
dc.date.issued2017-08-
dc.identifier.issn1380-7501-
dc.identifier.issn1573-7721-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/23768-
dc.description.abstractThe objective of this study is to realize the big data service quality maps of mobile communication companies, so that the users can objectively compare communication service qualities and make a reasonable choice. A measurement software was installed on smart phones for the purpose of measuring the service qualities of experience by the users. Furthermore, a measurement of five wireless internet services (broadband LTE, LTE-A, LTE, 3G, WiBro, and WiFi) was performed for evaluating the qualities of the service provider networks and the nationwide qualities. The measured data were stored and periodically uploaded to the database. These data were stored in PostGIS spatial DBMS through the connection of DBs, and they were connected to GeoServer for sharing and editing the geospatial data. The measured data were realized into coverage maps by using Google Maps. The coverage range was defined in Google Maps, and the defined range was divided by a specific cell (approximately 100 m x 100 m). The measured GPS ranges of each cell were retrieved from the quality data collection server table, and their average values were used for organizing and updating the coverage maps. These contents were stored in GeoServer, retrieved by database queries, and provided as visible layers in OpenLayers. In addition, statistical coverage maps via Flash maps were provided.-
dc.format.extent18-
dc.language영어-
dc.language.isoENG-
dc.publisherSPRINGER-
dc.titleImplementation of quality coverage map system via wireless communication service and big data analysis-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1007/s11042-017-4360-3-
dc.identifier.scopusid2-s2.0-85009446579-
dc.identifier.wosid000405528500026-
dc.identifier.bibliographicCitationMULTIMEDIA TOOLS AND APPLICATIONS, v.76, no.16, pp 17353 - 17370-
dc.citation.titleMULTIMEDIA TOOLS AND APPLICATIONS-
dc.citation.volume76-
dc.citation.number16-
dc.citation.startPage17353-
dc.citation.endPage17370-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Information Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Software Engineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Theory & Methods-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorWireless communication service big data-
dc.subject.keywordAuthorCoverage map-
dc.subject.keywordAuthorStatistics map-
dc.subject.keywordAuthorService quality of experience-
dc.subject.keywordAuthorService quality-
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