DocumentCode :
2080895
Title :
DSVM: A buffer management strategy for video transmission in opportunistic networks
Author :
Honghai Wu ; Huadong Ma
Author_Institution :
Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2013
fDate :
9-13 June 2013
Firstpage :
2990
Lastpage :
2994
Abstract :
In recent years, more and more people have begun to focus on data delivery among mobile users through opportunistic networks, and in most cases, such as emergency, traffic accident and disaster, we need to transmit video data to other users by the means of opportunistic contacts between mobile users. Meanwhile, the buffers of mobile wireless devices are usually limited, then some messages which have different importance on video recovery, will be dropped during transmission. Therefore, it´s imperative to design efficient buffer management strategy to improve the video delivery quality. Several policies have been presented, but they are just designed for general data and not suitable for video transmission. In this paper, we comprehensively take the temporal correlation of video data and the diffusivity of messages into account, and propose DSVM, a novel buffer management strategy. Extensive simulations validate its performance, and up to about 3dB Peak Signal-to-Noise Ratio (PSNR) gain can be achieved over the state-of-the-art buffer management policies.
Keywords :
buffer storage; correlation methods; delay tolerant networks; mobile computing; mobile radio; video communication; video signal processing; DSVM; PSNR gain; buffer management policies; buffer management strategy; data delivery; delay tolerant network; dropping strategy for video messages; messages diffusivity; mobile users; mobile wireless devices; opportunistic contacts; opportunistic networks; peak signal-to-noise ratio; temporal correlation; video data transmission; video delivery quality; video recovery; Knowledge engineering; Linear programming; Mobile communication; Mobile computing; PSNR; Probability; Streaming media;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (ICC), 2013 IEEE International Conference on
Conference_Location :
Budapest
ISSN :
1550-3607
Type :
conf
DOI :
10.1109/ICC.2013.6654998
Filename :
6654998
Link To Document :
بازگشت