Adaptive video streaming on named data networking with iot-assisted content delivery

• Main Authors: Suphakit Awiphan, Kanin Poobai, Jiro Katto
• Format: Conference Proceeding
• Published: 2019
• Subjects: Computer Science; Engineering; Mathematics
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85066496981&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/65511
• Institution: Chiang Mai University

© 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.