Hotspots Analysis Using Cyber-Physical-Social System for a Smart City
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Amin, Farhan | - |
dc.contributor.author | Choi, Gyu Sang | - |
dc.date.available | 2021-04-16T02:40:45Z | - |
dc.date.created | 2021-04-16 | - |
dc.date.issued | 2020-07 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/80762 | - |
dc.description.abstract | Internet of things plays a vital role in providing various services to users. Significant volumes of data are generated from the communication between a large numbers of heterogeneous devices over the Internet. Big data technology is generally used to handle the large volume of data. Complex networks are graphs (networks) having non-trivial topological features, such as random graphs and lattices. Big data of complex networks concerns big data methods that can be used to analyze massive structural data sets, including considerably large networks and sets of graphs. This study is based on the critical phenomenon arising in complex networks that enable us to analytically predict the hotspots in smart cities. Hotspots are places with significantly high communication traffic relative to others. In this study, we propose a cyber-physical-social system for the analysis of high communication traffic hotspots using telecom data. The proposed model constructs a graph, and perform social network analysis on it. The process of hotspot extraction is performed, followed by social network analysis, which is conducted by quantifying the importance of each hotspot based on network metrics. These metrics aid in determining the importance of each hotspot in a telecom data network. Our objective is to prioritize different areas and detect hotspots quickly. Our results indicate that the proposed model has an efficiency comparable with that of state of the art methods. This research study will be helpful for urban planning and development, as well as in upgrading telecommunication infrastructure. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.title | Hotspots Analysis Using Cyber-Physical-Social System for a Smart City | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000553629600001 | - |
dc.identifier.doi | 10.1109/ACCESS.2020.3003030 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.8, pp.122197 - 122209 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.scopusid | 2-s2.0-85088636776 | - |
dc.citation.endPage | 122209 | - |
dc.citation.startPage | 122197 | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 8 | - |
dc.contributor.affiliatedAuthor | Amin, Farhan | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | Cyber-physical systems (CPS) | - |
dc.subject.keywordAuthor | cyber-physical | - |
dc.subject.keywordAuthor | social systems (CPSS) | - |
dc.subject.keywordAuthor | data analytics | - |
dc.subject.keywordAuthor | smart city | - |
dc.subject.keywordAuthor | urban planning | - |
dc.subject.keywordAuthor | big data | - |
dc.subject.keywordAuthor | hotpots | - |
dc.subject.keywordAuthor | network traffic analysis | - |
dc.subject.keywordAuthor | centrality measure | - |
dc.subject.keywordAuthor | graph | - |
dc.subject.keywordAuthor | complex networks | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114
COPYRIGHT 2020 Gachon University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.