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针对现有的移动社交网络数据转发方法大多没有考虑广泛存在的暂态连通区域(TCC),从而导致数据转发质量较低问题,根据5组真实数据对TCC属性与数据转发性能的关系进行了分析,提出了一种基于TCC感知的数据转发算法.此外,考虑到该算法会增加网络中数据拷贝的数量这一问题,提出了改进型TCC感知数据转发策略,通过选择TCC中的最优节点集来避免它们的相遇重叠现象,利用少量节点实现数据转发机会最大化.仿真结果表明,本文方法的性能在数据投递率和网络开销方面的性能要优于当前其他数据转发算法.
Most existing methods of mobile social network data forwarding do not consider the widely existing transient connectivity area (TCC), which leads to the problem of lower data forwarding quality. The relationship between TCC attributes and data forwarding performance is analyzed based on five sets of real data , A TCC-based data forwarding algorithm is proposed.In addition, considering that the algorithm can increase the number of data copies in the network, an improved TCC-aware data forwarding strategy is proposed. By choosing the optimal node set in TCC, So as to avoid the overlap of their encounters and maximize the opportunity of data forwarding with a few nodes.The simulation results show that the performance of the proposed method is superior to other data forwarding algorithms in terms of data delivery rate and network overhead.