Abstract

With the development of Internet of Things (IoT), wearable devices have gradually become popular, and different new network architectures have also been proposed. Social Internet of Things (SIoT) is a newly proposed architecture that allows devices to realize social-like self-selection and connection. This project is aimed at wearable devices, and uses the Erdös-Rényi (ER) random model and general random number generation methods to simulate the topology based on the IoT architecture and the SIoT architecture, and analyze the closeness centrality and degree centrality of the nodes in the topology and the overall. Finally, it is found that the topology based on the SIoT architecture is better than the topology based on the IoT architecture in terms of node and overall network expansion. This project can provide a certain reference for future distributed IoT network research.

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