Node Social Nature Detection OSN Routing Scheme Based on IoT System
Xiaoli Li, Huamei Qi, Jia Wu
Abstract
In pace with the rapid growth of mobile communication technologies, such as 5G, the Internet of Things (IoT), as an emerging network standard, is gradually entering people’s daily lives. In this development situation, the specific applications of the IoT are reflected in the IoT systems. However, in such an open and complex environment, the nature of nodes that are easily accessible in the IoT system is unknowable. Therefore, how to use the social natures of nodes to detect the true nature of the nodes and construct a secure routing strategy is the key to the current research opportunistic social network (OSN). This article proposes a node social nature detection OSN routing scheme based on IoT system (NSND). The algorithm first proposes that there is a social relationship between nodes, and combines the characteristics of the social state of the nodes to give a formal definition of the node relationship. Then construct an OSN system to describe the types of nodes. Finally, various nodes are designed to affect the calculation method. Simulation experiments show that the NSND algorithm proposed in this article effectively utilizes the social nature of nodes. It can not only reduce the transmission impact of malicious nodes but also improve the activity of kind nodes. Its various network performance indicators are better than other algorithms.