Truthful Streaming in Selfish DONet

Data-driven overlay network (DONet) is especially suitable for live stream because it can tolerant node dynamics well. However, optimal streaming demands the cooperation of individual nodes. If selfish nodes in DONet cheat about their buffer maps to reduce the forwarding burden, the overall streaming quality might be negatively affected. To defend this kind of cheating behavior, we design a trustworthy service- differentiation based incentive mechanism with low complexity in this paper. The mechanism is composed of the service- differentiation algorithm and the contribution-evaluation algorithm. Compared with other studies in this area, the primary characteristic of our mechanism lies in two aspects. Firstly, the contribution of each node is evaluated considering the characteristic of live stream, not just by the transferring bytes. Secondly, the potential cheating behavior of overlay nodes during the fulfillment of incentive algorithms can be defended, which is usually not considered by other studies.