Research on the Double Layer Coupling Dynamic Information Propagation Model of the Internet of Things

ZHANG Yuexia; CHANG Fengde

doi:10.11999/JEIT231291

Volume 46 Issue 8

Aug. 2024

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ZHANG Yuexia, CHANG Fengde. Research on the Double Layer Coupling Dynamic Information Propagation Model of the Internet of Things[J]. Journal of Electronics & Information Technology, 2024, 46(8): 3165-3173. doi: 10.11999/JEIT231291

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ZHANG Yuexia, CHANG Fengde. Research on the Double Layer Coupling Dynamic Information Propagation Model of the Internet of Things[J]. Journal of Electronics & Information Technology, 2024, 46(8): 3165-3173. doi: 10.11999/JEIT231291

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Research on the Double Layer Coupling Dynamic Information Propagation Model of the Internet of Things

doi: 10.11999/JEIT231291 cstr: 32379.14.JEIT231291

ZHANG Yuexia^{1, 2
,
,},
CHANG Fengde¹

1.
Key Laboratory of Modern Measurement and Control Technology, Ministry of Education, Beijing University of Information Technology, Beijing, 100020, China
2.
High Dynamic Navigation Beijing Laboratory, Beijing, 100020, China

Received Date: 2023-11-21
Rev Recd Date: 2024-04-14

Available Online: 2024-05-11

Publish Date: 2024-08-30

Abstract

Abstract

The study of information dissemination models is an important component of the Internet of Things field, which helps to improve the performance and efficiency of IoT systems, promote the further development of IoT technology. In response to the complex and unstable factors that affect information dissemination in IoT communication, a double-layer coupled information dissemination model SIVR-UAD (Susceptible, Infection, Variant, Recovered-Unknown, Aware, Disinterest) is proposed, which analyzes the impact of devices and users in different states on information dissemination in the Internet of Things, Six coupling states were established, and the Markov method was used to analyze the state change process of the coupling nodes, finding the information dissemination equilibrium point. Finally, the uniqueness and stability of the equilibrium point of the model were proved through theoretical analysis. The simulation results show that under three different initial coupling node numbers, the number of six coupling nodes in the SIVR-UAD model always tends to the same stable level, proving the equilibrium point and stability of the model.

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References(35)

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