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Opportunistic Network Routing Strategy Based on Node Individual Community

机译：基于节点个体社区的机会性网络路由策略

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The spatio-temporal features of node movements are closely linked to the social relationships of nodes in opportunity networks with social attributes. Some community division-based routing algorithms are for nodes with identical or consistent community division attributes, which are more macroscopic and do not represent the role of individual network nodes. The paper builds probabilistic encounter social relations through encounters brought by node movements to highlight the role of individual nodes in the network and proposes an opportunity network routing strategy based on node individual communities based on node social relations. The strategy takes full account of the encounter characteristics of nodes in the network and constructs individual communities based on node centrality. Data transmission in opportunity networks is completed based on the individual community relationships of the nodes. It is experimentally verified that in opportunity networks with social attributes, the opportunity network routing strategy based on node individual communities proposed in the paper has a better quality in message delivery compared with the existing main opportunity routing algorithms.
机译：节点运动的时空特征与具有社会属性的机会网络中节点的社会关系密切相关。一些基于社区划分的路由算法适用于具有相同或一致的社区划分属性的节点，这些属性更加宏观，并且不代表各个网络节点的角色。通过节点运动带来的遇到突出，该论文构建了概率遭遇社会关系，以突出网络中的各个节点的作用，并提出基于节点社会关系的节点个体社区的机会网络路由策略。该策略完全考虑了网络中节点的遇到特征，并基于节点中心地构建各个社区。机会网络中的数据传输基于节点的各个社区关系完成。它是通过实验验证的，在具有社会属性的机会网络中，基于节点个人社区的机会网络路由策略与现有的主要机会路由算法相比具有更好的消息传递质量。

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