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DC Field | Value | Language |
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dc.citation.endPage | 550 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 536 | - |
dc.citation.title | IEEE-ACM TRANSACTIONS ON NETWORKING | - |
dc.citation.volume | 21 | - |
dc.contributor.author | Lee, Kyunghan | - |
dc.contributor.author | Lee, Joohyun | - |
dc.contributor.author | Yi, Yung | - |
dc.contributor.author | Rhee, Injong | - |
dc.contributor.author | Chong, Song | - |
dc.date.accessioned | 2023-12-22T04:08:51Z | - |
dc.date.available | 2023-12-22T04:08:51Z | - |
dc.date.created | 2013-07-04 | - |
dc.date.issued | 2013-04 | - |
dc.description.abstract | 97 iPhone users from metropolitan areas and collected statistics on their WiFi connectivity during a two-and-a-half-week period in February 2010. Our trace-driven simulation using the acquired whole-day traces indicates that WiFi already offloads about 65% of the total mobile data traffic and saves 55% of battery power without using any delayed transmission. If data transfers can be delayed with some deadline until users enter a WiFi zone, substantial gains can be achieved only when the deadline is fairly larger than tens of minutes. With 100-s delays, the achievable gain is less than only 2%-3%, whereas with 1 h or longer deadlines, traffic and energy saving gains increase beyond 29% and 20%, respectively. These results are in contrast to the substantial gain (20%-33%) reported by the existing work even for 100-s delayed transmission using traces taken from transit buses or war-driving. In addition, a distribution model-based simulator and a theoretical framework that enable analytical studies of the average performance of offloading are proposed. These tools are useful for network providers to obtain a rough estimate on the average performance of offloading for a given WiFi deployment condition. | - |
dc.identifier.bibliographicCitation | IEEE-ACM TRANSACTIONS ON NETWORKING, v.21, no.2, pp.536 - 550 | - |
dc.identifier.doi | 10.1109/TNET.2012.2218122 | - |
dc.identifier.issn | 1063-6692 | - |
dc.identifier.scopusid | 2-s2.0-84876288366 | - |
dc.identifier.uri | https://scholarworks.unist.ac.kr/handle/201301/3479 | - |
dc.identifier.url | http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84876288366 | - |
dc.identifier.wosid | 000317925300015 | - |
dc.language | 영어 | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Mobile Data Offloading: How Much Can WiFi Deliver? | - |
dc.type | Article | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Hardware & Architecture; Computer Science, Theory & Methods; Engineering, Electrical & Electronic; Telecommunications | - |
dc.relation.journalResearchArea | Computer Science; Engineering; Telecommunications | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordAuthor | Delayed transmission | - |
dc.subject.keywordAuthor | experimental networks | - |
dc.subject.keywordAuthor | mobile data offloading | - |
dc.subject.keywordAuthor | mobility | - |
dc.subject.keywordPlus | DYNAMICS | - |
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