Lifeng Sun

Work place: Computer Science and Technology Department, Tsinghua University,Beijing, China

E-mail: Sunlf@mail.tsinghua.edu.cn

Website:

Research Interests: Computer systems and computational processes, Network Architecture, Data Structures and Algorithms

Biography

Lifeng Sun received his B.S. Degree and Ph.D. Degrees in System Engineering in 1995 and 2000 from National University of Defense Technology, Changsha, Hunan, China; He was on the Post Doctor research of the Department of Computer Science and Technology at Tsinghua University from 2001 to 2003; He is an associate professor of the Department of Computer Science and Technology at Tsinghua University now.
Dr. Sun's professional interests lie in the areas of video streaming, interactive multi-view video, distributed video coding, ad hoc network streaming and peer-to-peer video transmission. He has published over 50 papers in the above domain. He is leading several research projects on video coding, p2p video streaming and interactive Multiview/3D video technology supported by National Science Foundation of China and international cooperation with Intel and Microsoft Research and Technology. 

Author Articles
A Wireless Video Transmission Scheme Based on MAC-independent Opportunistic Routing & Encoding Protocol

By Yong Liu Li Chen Lifeng Sun Shiqiang Yang

DOI: https://doi.org/10.5815/ijitcs.2010.01.08, Pub. Date: 8 Nov. 2010

It is a tremendous challenge to transmit real-time video streams over wireless sensor network because of the poor wireless communication conditions and the high requirements of video transmission. The opportunistic routing protocol can take advantage of the broadcast nature of wireless communication and can improve transfer throughput significantly. But the bigger size of transmission unit also increases the end-to-end delay at the same time. In order to overcome this problem and improve the real-time video transmission quality in wireless video sensor network, we propose a source adaptive frame discard algorithm for MAC-independent Opportunistic Routing & Encoding (MORE) Protocol in this paper. In our approach, the historical transmission delay is recorded to estimate current network transmission rate. Based on the video deadline, frames predicted to be delayed are discarded adaptively in the source node to get better overall video quality. In some practice application scenarios, there are usually need to deliver multiple video streams over multi-hop wireless network. It can’t work effectively with the originally MORE protocol in such scenarios. Furthermore, we modify the MORE protocol and design an adaptive scheme to support multiple video streams over multi-hop wireless video sensor network in this paper. The simulation results show that our algorithm can reduce frame loss rate and improve video quality significantly.

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