Abstract
With the development of various mobile social applications, video data has already occupied a dominant proportion of mobile Internet traffic, and is still growing rapidly, which not only brings economic pressure to users, but also causes traffic explosion on Internet. Data delivery through mobile opportunistic networks is regarded as an efficient way to deal with this problem. But, due to the characteristics of video data and the mode of multi-copy routing, video opportunistic delivery will consume large amount of network resources, resulting in excessive transmission overhead and lower delivery quality. Fortunately, the strong aggregation of human activity gives us some inspiration, which can provide more space of deep optimization on video opportunistic transmission. Thus, in this paper, taking fully advantage of the connectivity of cluster formed by the gathering crowds, we propose a Video Opportunistic Replication scheme based on multi-player cooperative games, named VideoOR, which can achieve the double optimizations of transmission overhead and video delivery quality by scheduling the replication and forwarding of video packets under the guidance of Nash Equilibrium solution. Extensive simulations have been done based on the synthetic and real mobility traces, and the results show that our scheme can maximize the quality of reconstructed video and minimize the average replication times of each video packet.
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