Cited 1 time in
Measuring auto switch between Wi-Fi and mobile data networks in an urban area
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Hyun, Jonghwan | - |
| dc.contributor.author | Won, Youngjoon | - |
| dc.contributor.author | Nahm, David Sang-Chul | - |
| dc.contributor.author | Hong, James Won-Ki | - |
| dc.date.accessioned | 2021-08-03T03:27:23Z | - |
| dc.date.available | 2021-08-03T03:27:23Z | - |
| dc.date.created | 2021-05-13 | - |
| dc.date.issued | 2017-10 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/33017 | - |
| dc.description.abstract | To preserve consistent throughput, smartphones are equipped with a network switch feature (handover in heterogeneous networks). Frequent switching is often blamed to be a QoE downgrader in populated areas. In this paper, we measured auto switch occurrences between Wi-Fi and mobile data networks. We deployed an Android monitoring application for 89 participants and collected network status information up to 10 days long. We observed that auto switch occurred on average 2.53 times per hour and RTT decreased as the smartphone preferred to stay in Wi-Fi. Also, 68% of all users connected to Wi-Fi longer than the mobile data networks. | - |
| dc.language | 영어 | - |
| dc.language.iso | en | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Measuring auto switch between Wi-Fi and mobile data networks in an urban area | - |
| dc.type | Article | - |
| dc.contributor.affiliatedAuthor | Won, Youngjoon | - |
| dc.identifier.doi | 10.1109/CNSM.2016.7818434 | - |
| dc.identifier.scopusid | 2-s2.0-85013657766 | - |
| dc.identifier.bibliographicCitation | 2016 12th International Conference on Network and Service Management, CNSM 2016 and Workshops, 3rd International Workshop on Management of SDN and NFV, ManSDN/NFV 2016, and International Workshop on Green ICT and Smart Networking, GISN 2016, pp.287 - 291 | - |
| dc.relation.isPartOf | 2016 12th International Conference on Network and Service Management, CNSM 2016 and Workshops, 3rd International Workshop on Management of SDN and NFV, ManSDN/NFV 2016, and International Workshop on Green ICT and Smart Networking, GISN 2016 | - |
| dc.citation.title | 2016 12th International Conference on Network and Service Management, CNSM 2016 and Workshops, 3rd International Workshop on Management of SDN and NFV, ManSDN/NFV 2016, and International Workshop on Green ICT and Smart Networking, GISN 2016 | - |
| dc.citation.startPage | 287 | - |
| dc.citation.endPage | 291 | - |
| dc.type.rims | ART | - |
| dc.type.docType | Conference Paper | - |
| dc.description.journalClass | 1 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Heterogeneous networks | - |
| dc.subject.keywordPlus | Measurements | - |
| dc.subject.keywordPlus | Smartphones | - |
| dc.subject.keywordPlus | Wireless local area networks (WLAN) | - |
| dc.subject.keywordPlus | Wireless telecommunication systems | - |
| dc.subject.keywordPlus | Cellular network | - |
| dc.subject.keywordPlus | Frequent switching | - |
| dc.subject.keywordPlus | Handover | - |
| dc.subject.keywordPlus | Mobile data networks | - |
| dc.subject.keywordPlus | Monitoring applications | - |
| dc.subject.keywordPlus | Network status | - |
| dc.subject.keywordPlus | Network switches | - |
| dc.subject.keywordPlus | Urban areas | - |
| dc.subject.keywordPlus | Wi-Fi | - |
| dc.subject.keywordAuthor | 4G | - |
| dc.subject.keywordAuthor | Cellular Networks | - |
| dc.subject.keywordAuthor | LTE | - |
| dc.subject.keywordAuthor | Measurement | - |
| dc.subject.keywordAuthor | Smartphones | - |
| dc.subject.keywordAuthor | Wi-Fi | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/7818434 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1366
COPYRIGHT © 2024 HANYANG UNIVERSITY.
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.
