Research on the opportunity network routing and forwarding strategy based on the social attributes of nodes
Bin Wang, Тао Чен, Jia Chen, Li Feng, Lu Liu · 2020
In recent years, the study of routing algorithm in the opportunity network has found that the different properties of nodes may lead to different functions of node forwarding, so it has become an important research problem to choose the appropriate node attribute for data forwarding. In view of this problem, a routing and forwarding strategy based on the social attributes of nodes is proposed. When selecting the forwarding node, the message is forwarded to the appropriate node by using the familiarity between the compute nodes, the social centerness of the node, and the social similarity of the nodes as the basis for the forwarding. When the buffer space of node is full, the message is deleted with the lowest value. The simulation results show that the algorithm can effectively reduce the delay of forwarding messages and improve the efficiency of message delivery.