机会网络中基于节点社会性的数据转发策略

合理地选择代理节点是实现机会信息高效的转发和交付的关键问题。为了避免机会网络中,由于节点的移动性、交替活跃及网络拓扑动态变化等因素造成的传输限制,从社会网络与机会网络相结合的角度出发,提出了一种基于节点社会性的机会网络中的转发策略SNOP(data forwarding algorithm based on the sociality of node in opportunity network)。SNOP利用网络中的社团结构、社团间相似性及节点的社团活跃,有针对性地选择移动代理节点(agents),以离线的方式计算节点的社会性,在线完成转发,以此实现信息的高效和可靠交付。在真实数据集上的实验结果表明,与现有的转发算法相比,SNOP能够有效地提高信息交付的效率,降低端到端的传输延迟及网络开销。

Nodal Sociality-based Data Forwarding for Opportunistic Networks

It is a key problem to choose proper agents for forwarding opportunistic messages. In order to avoid the transmission limits caused by the characteristics mobility, active alternatively of nodes and dynamic changes of network topology in opportunistic networks, we proposed a data forwarding algorithm-SNOP(data forwarding algorithm based on the sociality of node in opportunistic networks) from the perspective of combining social network with opportunistic network. SNOP take community, similarity between societies and activity of nodes in the network into consideration to choose the targeted agents. It calculates nodal sociality in offline mode and implements messages forwarding online to reach the goal of high efficiency and reliability. The experimental results on real-world datasets show that compared with the existing algorithm of data transmission, SNOP has a higher delivery success ratio, smaller transmission delay and with lower network overhead.