5G has brought a huge increase in data, and the number of nodes and types of messages are becoming more and more complex. The Internet of things has become a large and complex network. More and more devices can be used as nodes in opportunistic social networks. The attitude of nodes to messages is different and changeable. However, in the previous opportunistic network algorithm and mass data transmission environment, due to the lack of effective information selection and management means, it was easy to lead to transmission delay and high consumption. Therefore, we propose Effective Data Selection and Management (EDSM). EDSM uses the current state of the node as the basis for forwarding messages. When the cache space is insufficient, EDSM will perform cache replacement based on the message cache value and delete the information with the lowest cache value. Simulation results show that the algorithm has good performance in terms of delivery rate and latency.

中文翻译：

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机会社会网络中基于动态调节的有效数据选择和管理方法

5G带来了巨大的数据增长，节点数量和消息类型变得越来越复杂。物联网已经成为一个庞大而复杂的网络。越来越多的设备可以用作机会性社交网络中的节点。节点对消息的态度是不同且可变的。但是，在以前的机会网络算法和海量数据传输环境中，由于缺乏有效的信息选择和管理手段，容易导致传输时延和高消耗。因此，我们提出了有效的数据选择和管理（EDSM）。EDSM使用节点的当前状态作为转发消息的基础。当缓存空间不足时，EDSM将基于消息缓存值执行缓存替换，并删除缓存值最低的信息。仿真结果表明，该算法在传输速率和时延方面具有良好的性能。