File Download

There are no files associated with this item.

  • Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
Related Researcher

이경한

Lee, Kyunghan
Read More

Views & Downloads

Detailed Information

Cited time in webofscience Cited time in scopus
Metadata Downloads

Full metadata record

DC Field Value Language
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 -

qrcode

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