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HCS: hierarchical cluster-based forwarding scheme for mobile social networks

机译:HCS:用于移动社交网络的基于分层集群的转发方案

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摘要

Clustering has been shown to be a highly effective way to reduce network traffic in mobile ad hoc networks. Many clustering schemes have been proposed. However, none of these schemes can be directly applied to a mobile social network because they are designed for well-connected networks and require timely information sharing among the nodes. In this paper, we propose the hierarchical clustering-based forwarding scheme (HCS), which implements hierarchical clustering on social information. Each node constructs hierarchical clusters based on common neighbor similarity at the end of the warm-up period. The nodes then forward a message to other nodes based on the clustering information and similarity scores. HCS exploits the shortcuts on the path toward the destination node with the help of social similarity and node movement patterns. Experiments were performed on an NS-2 network simulator. The results show that HCS reduces network traffic compared to non-clustering schemes, such as Epidemic, SimBet, PRoPHET, and common neighbor similarity schemes, while maintaining acceptable transmission delay compared to the Wait scheme.
机译:集群已被证明是减少移动自组织网络中网络流量的高效方法。已经提出了许多聚类方案。但是,这些方案都不能直接应用于移动社交网络,因为它们是为连接良好的网络设计的,并且需要在节点之间及时共享信息。在本文中,我们提出了基于层次聚类的转发方案(HCS),该方案在社交信息上实现了层次聚类。在预热期结束时,每个节点都基于共同的邻居相似性来构造层次聚类。然后,这些节点根据聚类信息和相似性分数将消息转发到其他节点。 HCS在社交相似性和节点移动模式的帮助下利用通往目标节点的路径上的快捷方式。实验是在NS-2网络模拟器上进行的。结果表明,与非集群方案(例如流行病,SimBet,PRoPHET和公共邻居相似性方案)相比,HCS减少了网络流量,同时与等待方案相比,保持了可接受的传输延迟。

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