Energy-efficient video transmission scheduling for wireless peer-to-peer live streaming

Ying Li, Zhu Li, Mung Chiang, A. Robert Calderbank

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The Peer-to-Peer (P2P) streaming has shown as an effective solution for wireline video applications, while for the wireless video streaming applications, the limited radio resource and battery energy are the main constraints on the way of P2P applications. An important issue in live video streaming quality of service is to avoid playback buffer underflow, and a challenge from wireless applications is the desire of energy efficiency. The problem we try to solve is how to utilize P2P schemes in video streaming and schedule the video transmission among peers to minimize the "freeze- ups" in playback caused by buffer underflow. In this work, we propose energy-efficient algorithm for the video transmission scheduling in wireless P2P live streaming system, to minimize the playback freeze-ups among peers. Further the algorithm is extended to two scenarios: peers' reluctance of consuming battery energy and allowing overhearing, with alternative energy-efficient algorithms proposed for the second scenario. Numerical results show the effectiveness of the proposed algorithms. The results also demonstrate that peers' selfishness may reduce the energy efficiency, but allowing overhearing could increase energy efficiency.

Original languageEnglish (US)
Title of host publication2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009
DOIs
StatePublished - Apr 9 2009
Event2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009 - Las Vegas, NV, United States
Duration: Jan 10 2009Jan 13 2009

Publication series

Name2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009

Other

Other2009 6th IEEE Consumer Communications and Networking Conference, CCNC 2009
Country/TerritoryUnited States
CityLas Vegas, NV
Period1/10/091/13/09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

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