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dc.contributor.authorSuphakit Awiphanen_US
dc.contributor.authorKanin Poobaien_US
dc.contributor.authorJiro Kattoen_US
dc.date.accessioned2019-08-05T04:34:37Z-
dc.date.available2019-08-05T04:34:37Z-
dc.date.issued2019-05-10en_US
dc.identifier.other2-s2.0-85066496981en_US
dc.identifier.other10.1109/ICSEC.2018.8712644en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066496981&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/65511-
dc.description.abstract© 2018 IEEE. Adaptive rate video streaming on a novel Internet architecture, called Named Data Networking (NDN), appears to be a promising technology. However, given the source of content on NDN is unknown to the consumer, rate adaptation becomes inefficient. Moreover, the traffic at some nodes holding popular contents still can be congested. In this paper, we utilize the Internet of Things (IoT) device for assisting content delivery at an NDN router that has low bandwidth. The location of IoT devices installation is determined by a metric calculated from link bandwidth, delay, and utilization. We performed the experiments using DASH-NDN-JS on the setup network. The results demonstrate that our proposal could support NDN router to deliver video content to additional consumers efficiently. Thus, the network scalability can be improved with a reasonable cost.en_US
dc.subjectComputer Scienceen_US
dc.subjectEngineeringen_US
dc.subjectMathematicsen_US
dc.titleAdaptive video streaming on named data networking with iot-assisted content deliveryen_US
dc.typeConference Proceedingen_US
article.title.sourcetitle2018 22nd International Computer Science and Engineering Conference, ICSEC 2018en_US
article.stream.affiliationsWaseda Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
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