## 2 Related Work  
In the form of 5G networks, base station construction is relatively dense. The base station needs to collect the soaring data generated by devices, and analyze, process and transmit the data further. As shown in [20], a practical system architecture is proposed to process and extract useful information, and through the data caching mechanism, to solve the user data requirements. This approach increases the complexity of data processing. In such cases, most of the work of data transmission and data sharing can be done by the mobile device. The node's transmission decision, calculation, and other tasks can be assigned to the base station or edge equipment to reduce the node energy consumption. Many researchers have proposed ways for mobile devices to deliver messages in opportunistic mobile complex social networks. In such a network, there is no guarantee that the full connection path between the source and destination exists at any time, which makes the traditional routing protocol unable to deliver messages better between nodes. Some researchers have proposed probabilistic routing protocols for the network [19]. The nodes predict the reachability probability between the nodes by storing their encounter information, and select the nodes with higher encounter probability as the relay node. Such a method will increase the energy consumption of nodes in the case of the heavy task of 5G network data transmission. In mobile social networks, some researchers have proposed using community structure to make data forwarding decisions. They assume that people in the same community would have closer relationships and more opportunities to connect with each other. The concept of the probability of the source node to the destination node is proposed by tracking the encounter situations of the nodes to study the activity of the node and the probability of reaching the target node, using the Poisson model of the social network contact. On this basis, the contact-aware opportunity-based forwarding (CAOF) scheme [21] is proposed by calculating the global and local probability of two different transmission phases. It includes the forwarding scheme between the inter-community transmission phase and the intra-community transmission phase. In the inter-community phase, neighbor nodes with higher global activity and high probability of source node to target node are selected as relays. Furthermore, forwarding decisions are determined by local metrics in the internal phase of the community. In this program, social characteristics and cooperation relationships may not be considered for integration into the design of the scheme, and may not perform well when the nodes are selfish. In addition, there is an interesting study on mobile social networks. Since the mobile social network consists of nodes with different social attributes, the connection is transmitted or shared by chance. Some researchers have proposed a routing algorithm based on social identity awareness (SIaOR) [22]. They believe that many socially aware routing algorithms ignore an important social attribute, social identity. Therefore, researchers propose an opportunity routing algorithm in mobile social networks by considering the social identity and social impact of mobile nodes in mobile social networks. The algorithm not only considers the multiple social identities of mobile nodes, but also their social impacts. However, it is difficult to measure the ability of nodes to forward data if they simply consider the social identity impact with the target node. Moreover, nodes with strong social relationships may not be suitable nodes for cooperation. A new sensing method is the Internet of Things in the Mobile Crowd Sensor Network (MCSN). There are two existing transmission mechanisms: One is to transmit data through a cellular network, the other is an opportunistic transmission method through short-range wireless communication technology.