TY - GEN
T1 - Adaptive video streaming on named data networking with iot-assisted content delivery
AU - Awiphan, Suphakit
AU - Poobai, Kanin
AU - Katto, Jiro
PY - 2019/5/10
Y1 - 2019/5/10
N2 - 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.
AB - 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.
KW - Adaptive video streaming
KW - Named data networking
UR - http://www.scopus.com/inward/record.url?scp=85066496981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066496981&partnerID=8YFLogxK
U2 - 10.1109/ICSEC.2018.8712644
DO - 10.1109/ICSEC.2018.8712644
M3 - Conference contribution
AN - SCOPUS:85066496981
T3 - 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018
BT - 2018 22nd International Computer Science and Engineering Conference, ICSEC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Computer Science and Engineering Conference, ICSEC 2018
Y2 - 21 November 2018 through 24 November 2018
ER -