Lack of an efficient video frame delivery method due to high delay in Pull method and large number of duplicated frames in Push method, as the two main content delivery methods among peers, has been a strong motivator for introducing hybrid methods based on these two ba
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Lack of an efficient video frame delivery method due to high delay in Pull method and large number of duplicated frames in Push method, as the two main content delivery methods among peers, has been a strong motivator for introducing hybrid methods based on these two basic approaches for live video streaming in mesh-based peer-to-peer networks. Recent studies show that these hybrid methods suffer from inherent challenges of the two basic approaches because they are just a sequential or parallel execution of them. In this regard, this research introduces AMIN, a novel hybrid method for intelligently exchanging video frames among peers. Using AMIN, contrary to Pull, each peer sends its buffer map status (BMS) to its two-hop neighbors and the peer who receives the BMS will immediately check which video frames it can send to that peer instead of requesting missed video frames in its buffer from it. In addition, contrary to Push and because of BMS, peers do not blindly send video frames to their neighbors. Simulation results show that video quality considerably increases in peers, while End-to-End delay, received delay and the number of duplicated frames decrease in comparison with two basic methods as well as another recent similar approach.
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