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首页> 外文期刊>Symmetry >FCNS: A Fuzzy Routing-Forwarding Algorithm Exploiting Comprehensive Node Similarity in Opportunistic Social Networks
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FCNS: A Fuzzy Routing-Forwarding Algorithm Exploiting Comprehensive Node Similarity in Opportunistic Social Networks

机译：FCNS：利用机会社交网络中的综合节点相似性的模糊路由转发算法

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At the dawn of big data and 5G networks, end-to-end communication with large amounts of data between mobile devices is difficult to be implemented through the traditional face-to-face transmission mechanism in social networks. Consequently, opportunistic social networks proposed that message applications should choose proper relay nodes to perform effective data transmission processes. At present, several routing algorithms, based on node similarity, attempt to use the contextual information related to nodes and the special relationships between them to select a suitable relay node among neighbors. However, when evaluating the similarity degree between a pair of nodes, most existing algorithms in opportunistic social networks pay attention to only a few similar factors, and even ignore the importance of mobile similarity in the data transmission process. To improve the transmission environment, this study establishes a fuzzy routing-forwarding algorithm (FCNS) exploiting comprehensive node similarity (the mobile and social similarities) in opportunistic social networks. In our proposed scheme, the transmission preference of the node is determined through the fuzzy evaluation of mobile and social similarities. The suitable message delivery decision is made by collecting and comparing the transmission preference of nodes, and the sustainable and stable data transmission process is performed through the feedback mechanism. Through simulations and the comparison of social network algorithms, the delivery ratio in the proposed algorithm is 0.85 on average, and the routing delay and network overhead of this algorithm are always the lowest.
机译：在大数据和5G网络到来之际，很难通过社交网络中传统的面对面传输机制来实现移动设备之间与大量数据的端到端通信。因此，机会主义社交网络建议消息应用程序应选择适当的中继节点来执行有效的数据传输过程。当前，基于节点相似性的几种路由算法试图使用与节点有关的上下文信息以及它们之间的特殊关系来在邻居之间选择合适的中继节点。然而，当评估一对节点之间的相似度时，机会社会网络中的大多数现有算法仅关注少数相似因素，甚至忽略了移动相似性在数据传输过程中的重要性。为了改善传输环境，本研究建立了一种机会社会网络中的综合节点相似性（移动和社会相似性）的模糊路由转发算法（FCNS）。在我们提出的方案中，通过对移动和社交相似性的模糊评估来确定节点的传输偏好。通过收集和比较节点的传输优先级来做出合适的消息传递决策，并通过反馈机制执行可持续，稳定的数据传输过程。通过仿真和社交网络算法的比较，提出的算法的平均传送率为0.85，并且该路由算法的路由延迟和网络开销始终最低。

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