Detailed Information

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

Improvement of Extended Least Difference Greedy Clique-Cover Algorithm for Index Coding

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Joon-Woo-
dc.contributor.authorKim, Jae-Won-
dc.contributor.authorNo, Jong-Seon-
dc.date.accessioned2023-03-08T15:47:47Z-
dc.date.available2023-03-08T15:47:47Z-
dc.date.issued2018-10-
dc.identifier.issn2162-1233-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/63832-
dc.description.abstractWe modify the heuristic algorithm proposed by Kwak, et al., called the extended least difference greedy (ELDG) algorithm, to make it more efficient. The column-merging heuristic algorithm, which is one of the essential parts in the ELDG algorithm, is found numerically not to be efficient for reducing the index codelength; besides, the result of the column-merging heuristic algorithm can be even longer than that of the original LDG algorithm. We detect when the column-merging heuristic algorithm give worse result than the result of the original LDG algorithm. Modified slightly, the proposed column-merging heuristic algorithm becomes efficient for reducing codelength. Additionally, we add the cycle-of-p-nodes detection algorithm, which is the generalized version of the cycle-of-three-node detection algorithm in the ELDG algorithm. It is numerically shown that roughly 20% of the index codelength reduction is achieved by the proposed ELDG algorithm compared to the LDG algorithm, while the conventional ELDG algorithm shows 10% of reduction rate compared to the LDG algorithm.-
dc.format.extent3-
dc.language영어-
dc.language.isoENG-
dc.publisherIEEE-
dc.titleImprovement of Extended Least Difference Greedy Clique-Cover Algorithm for Index Coding-
dc.typeArticle-
dc.identifier.doi10.1109/ICTC.2018.8539615-
dc.identifier.bibliographicCitation2018 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC), pp 818 - 820-
dc.description.isOpenAccessN-
dc.identifier.wosid000517984800172-
dc.identifier.scopusid2-s2.0-85059475925-
dc.citation.endPage820-
dc.citation.startPage818-
dc.citation.title2018 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC)-
dc.type.docTypeProceedings Paper-
dc.publisher.location미국-
dc.subject.keywordAuthorIndex code-
dc.subject.keywordAuthorleast difference greedy clique-cover algorithm-
dc.subject.keywordPlusBROADCAST-
dc.subject.keywordPlusDEMAND-
dc.subject.keywordPlusISCOD-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Lee, Joonwoo photo

Lee, Joonwoo
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE