Energy-efficient cooperative scalable video distribution and sharing in mobile social networks

With the popularity of mobile multimedia services, the explosive increase in video traffic not only causes huge load and energy consumption of base station (BS), but also affects the QoS of users. The device to device (D2D) multicast technology can effectively reduce the number of redundant video transmissions and improve energy efficiency of the BS. However, the existing researches about D2D technology assume that there is not unconstrained communication between local users, which is not in line with the actual situation. Moreover they do not take full advantage of attributes of users in mobile social networks. In this paper, we first propose a clustering method and select the cluster head users (CHUs) as relay nodes to distribute videos by considering the user's physical conditions and user's social attributes based on Chinese Restaurant Process (CRP). Then we put forward with a video distribution and sharing mechanism based on scalable video coding (SVC). In this mechanism, edge users collaboratively share videos on the basis of user's mobility, where Zipf distribution combines with SVC to effectively reduce the energy consumption of the BS. Finally, the experimental results show that the proposed strategy can not only reduce the energy consumption of the BS, but also improve the throughput and the stability and flexibility of video distribution.