Optimal Multi-Interface Selection for Mobile Video Streaming in Efficient Battery Consumption and Data Usage

Seonghoon Moon, Juwan Yoo, Songkuk Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


With the proliferation of high-performance, large-screen mobile devices, users' expectations of having access to high-resolution video content in smooth network environments are steadily growing. To guarantee such stable streaming, a high cellular network bandwidth is required; yet network providers often charge high prices for even limited data plans. Moreover, the costs of smoothly streaming high-resolution videos are not merely monetary; the device's battery life must also be accounted for. To resolve these problems, we design an optimal multi-interface selection system for streaming video over HTTP/TCP. An optimization problem including battery life and LTE data constraints is derived and then solved using binary integer programming. Additionally, the system is designed with an adoption of split-layer scalable video coding, which provides direct adaptations of video quality and prevents out-of-order packet delivery problems. The proposed system is evaluated using a prototype application in a real, iOS-based device as well as through experiments conducted in heterogeneous mobile scenarios. Results show that the system not only guarantees the highest-possible video quality, but also prevents reckless consumption of LTE data and battery life.

Original languageEnglish
Article number4871629
JournalMobile Information Systems
Publication statusPublished - 2016

Bibliographical note

Publisher Copyright:
© 2016 Seonghoon Moon et al.

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications


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