Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A design and implementation of geolocation database for television white space

Full metadata record
DC Field Value Language
dc.contributor.authorHwang, Kwang-Il-
dc.contributor.authorJang, In-
dc.contributor.authorJeong, Young-Sik-
dc.date.accessioned2024-08-08T08:00:50Z-
dc.date.available2024-08-08T08:00:50Z-
dc.date.issued2015-03-
dc.identifier.issn1936-6612-
dc.identifier.issn1936-7317-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/19965-
dc.description.abstractTelevision White Space (TVWS) is considered as a promising technology to solve the spectrum deficiency problem. In particular, since TV bands are controlled by regulatory agency of each region, TVWS devices must access geolocation Database (GDB) through the Internet, and obtain available channel from the Database. In this paper we first introduce an emerging new standard, a protocol for access to white space (PAWS), which specifies messages and data model between GDB and white space devices. In addition, we presents the implementation details of GDB server/client, which conforms to IETF PAWS standard, and is capable of providing efficient TV channel management functionality by exploiting a virtual grid based TV spectrum management coupled with geolocation information. © 2015 American Scientific Publishers. All rights reserved.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Scientific Publishers-
dc.titleA design and implementation of geolocation database for television white space-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1166/asl.2015.5801-
dc.identifier.scopusid2-s2.0-84941128558-
dc.identifier.bibliographicCitationAdvanced Science Letters, v.21, no.3, pp 376 - 380-
dc.citation.titleAdvanced Science Letters-
dc.citation.volume21-
dc.citation.number3-
dc.citation.startPage376-
dc.citation.endPage380-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordAuthorGeolocation database-
dc.subject.keywordAuthorPAWS protocol-
dc.subject.keywordAuthorTVWS-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jeong, Young Sik photo

Jeong, Young Sik
College of Advanced Convergence Engineering (Department of Computer Science and Artificial Intelligence)
Read more

Altmetrics

Total Views & Downloads

BROWSE