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논문검색

A Multicast Based Bandwidth Saving Approach for Wireless Live Streaming System

초록

영어

P2P based live streaming applications are growing up rapidly. However, when extending
them to WLANs, the bandwidth bottleneck and the high rate of packet loss are usually the
major stumbling blocks. To overcome this issue, a new wireless multicast agent mechanism
(WiMA) based on the IP multicast scheme for buffer management and scheduling is proposed.
First of all, a wireless agent selection method is presented to choose an appropriate agent for
WiMA. Then this agent gains media data by interacting with wired neighbor peers as a
common P2P node, and transmits these data to other wireless peers in the WLAN by means of
multicast pushing and multicast patching. A normal wireless peer requests data according to
the strategy of "emergent ones first". Experimental results show that the approach proposed
can significantly save bandwidth in WLANs with acceptable start delay and satisfied playing
continuity.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Design of Wireless Multicast Agent Mechanism
  3.1. Multicast Agent Selection
  3.2. Data multicast combining pushing and patching
  3.3. Schedule scheme of normal wPeer
  3.4. Schedule scheme of agent
 4. Experiment
  4.1. Bandwidth consumption
  4.2. Start delay
  4.3. Buffer fill rate
 5. Conclusion
 6. References

저자정보

  • Wenbin Jiang Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology, Wuhan 430074, China
  • Hai Jin Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology, Wuhan 430074, China
  • Xiaofei Liao Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology, Wuhan 430074, China
  • Zhi Yuan Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Huazhong University of Science and Technology, Wuhan 430074, China

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