%0 Journal Article
%A LI Peng
%A WANG Xiao-ming
%A ZHANG Dan
%A ZHANG Li-chen
%A ZHU Teng-jiao
%T An Algorithm of Randomly Intensive Dissemination of Video Fragments in Opportunistic Network
%D 2016
%R 10.13190/j.jbupt.2016.03.013
%J Journal of Beijing University of Posts and Telecommunications
%P 75-79
%V 39
%N 3
%X <p>An algorithm of randomly intensive dissemination of video fragments in opportunistic network was proposed to satisfy the requirement of more number of video segments distributed randomly in time axis and sequenced in content so that users can acquire effective information of the original video. The proposed algorithm can guide transportation of video blocks while delivery delay is reduced sharply. Simulations show that random-sequential content spreading (RSCS) significantly outperforms these approaches in terms of random-sequential index. Moreover, RSCS also achieves better performance levels in ratio of delivery and latency than sequential solution.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2016.03.013