Ant colony optimization based packet scheduler for peer-to-peer video streaming

Young H. Jung, Kim Hong-Sik, Yoonsik Choe

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

This letter describes a new packet scheduling algorithm for enhancing the quality of distributed peer-to-peer video streaming. The algorithm was designed for when streaming server peers use error recovery such as automatic-repeat-request (ARQ) rather than error protection to avoid overburdening network resources. Ant colony optimization was used for scheduling groups of packets to reflect the channel status and error recovery effect of multiple server peers heuristically. Simulation results show that the proposed algorithm can enhance the quality of distributed video streaming services.

Original languageEnglish
Pages (from-to)441-443
Number of pages3
JournalIEEE Communications Letters
Volume13
Issue number6
DOIs
Publication statusPublished - 2009 Jul 23

Fingerprint

Error Recovery
Video Streaming
Ant colony optimization
Video streaming
Computer system recovery
Peer to Peer
Scheduler
Servers
Server
Packet Scheduling
Scheduling algorithms
Streaming
Scheduling Algorithm
Scheduling
Resources
Simulation

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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Ant colony optimization based packet scheduler for peer-to-peer video streaming. / Jung, Young H.; Hong-Sik, Kim; Choe, Yoonsik.

In: IEEE Communications Letters, Vol. 13, No. 6, 23.07.2009, p. 441-443.

Research output: Contribution to journalArticle

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