Title :
Ant colony optimization based packet scheduler for peer-to-peer video streaming
Author :
Jung, Young H. ; Kim, Hong-Sik ; Choe, Yoonsik
Author_Institution :
Yonsei Univ., Seoul
fDate :
6/1/2009 12:00:00 AM
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.
Keywords :
multimedia communication; multimedia computing; optimisation; peer-to-peer computing; video streaming; ant colony optimization; distributed video streaming; error recovery; packet scheduler; peer-to-peer video streaming; Algorithm design and analysis; Ant colony optimization; Automatic repeat request; Bandwidth; Delay; Network servers; Peer to peer computing; Protection; Scheduling algorithm; Streaming media; Distributed streaming, peer-to-peer streaming, ARQ, ant colony optimization;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2009.081925