Abstract
Mobile social networks (MSNs) are a special kind of delay tolerant networks that can apply social knowledge of user clustering to improve the performance of data delivery scheme in MSNs. However, the existing user clustering schemes ignore the fact that prediction accuracy will decrease with the increase of the network scale, which restricts the scalability of existing data delivery schemes and results in the degradation of the network data delivery ratio and delay. This paper proposes a two-layer data delivery model to increase the scalability for large-scale MSNs. Besides, a Two-Layer QoS-aware data Delivery (TLD) scheme is proposed with much lower computational complexity than that of the existing algorithms. The obtained simulation results indicate that the proposed TLD scheme outperforms the existing mobility-based MSN schemes in terms of both delivery ratio and delay.
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