物联网双层耦合动力学信息传播模型研究

张月霞; 常凤德

doi:10.11999/JEIT231291

物联网双层耦合动力学信息传播模型研究

doi: 10.11999/JEIT231291

张月霞^{1, 2, ,},
常凤德³

1.
北京信息科技大学现代测控技术教育部重点实验室北京 100020
2.
高动态导航北京市实验室北京 100020
3.
北京信息科技大学信息与通信系统信息产业部重点实验室北京 100020

详细信息

作者简介:
张月霞：女，教授，研究方向为无线协作通信技术等

常凤德：男，硕士生，研究方向为复杂网络信息传播动力学模型

通讯作者:
张月霞　zhangyuexia@bistu.edu.cn

中图分类号: TN929.5
计量
- 文章访问数: 44
- HTML全文浏览量: 25
- PDF下载量: 2
- 被引次数: 0
出版历程
- 收稿日期: 2023-11-21
- 修回日期: 2024-04-14
- 网络出版日期: 2024-05-11

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

ZHANG Yuexia^{1, 2
, ,},
CHANG Fengde³

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
3.
Key Laboratory of Information and Communication Systems, Ministry of Information Industry, Beijing University of Information Technology, Beijing, 100020, China

摘要

摘要: 信息传播模型的研究是物联网领域的重要组成部分，它有助于提高物联网系统的性能和效率，促进物联网技术的进一步发展，针对物联网通信中影响信息传播的因素复杂且不稳定的问题，该文提出一种双层耦合信息传播模型SIVR-UAD，通过分析物联网中不同状态的设备和用户对信息传播的影响，建立了六种耦合状态，并利用马尔科夫方法分析耦合节点的状态变化过程，找到信息传播平衡点，最后通过理论分析证明了模型的平衡点的唯一性以及稳定性。仿真结果表明，在3组不同的初始耦合节点数下，SIVR-UAD模型中的六种耦合节点数量变化始终趋向同一稳定水平，证明了该模型的平衡点和稳定性。
- 物联网通信 /
- SIVR-UAD /
- 双层耦合信息传播模型 /
- 稳定性证明
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.

HTML全文

图 1 SIVR-UAD双层耦合信息传播模型

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图 2 不同状态的设备转换关系

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图 3 不同状态的用户转换关系

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图 4 设备用户耦合状态变换过程

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图 5 不同初始状态下SIVR-UAD模型演化

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图 6 不同系统参数下SIVR-UAD模型演化

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表 1 模型参数

参数	定义
S	未携带信息的设备
I	携带有效信息的设备
V	携带无效信息的设备
R	不再接收和传播信息的设备
U	不了解信息情况的用户
A	查看过信息且了解情况的用户
D	停止传播无效信息的用户
$ {\beta _1} $	单位时间设备S接收到有效信息的概率
$ {\beta _2} $	单位时间设备S接收到无效信息的概率
$ {\mu _1} $	单位时间设备I不再传播有效信息的概率
$ {\mu _2} $	单位时间设备V不再传播无效信息的概率
$ \lambda $	单位时间用户知道信息的概率
$ \delta $	单位时间用户不再传播无效信息的概率
$ \varphi $	单位时间设备R不再占用资源的概率

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表 2 参数设置

参数	设置值
耦合节点总数N(个)	500
总时长(小时)	160
$ {\beta _1} $	0.09
$ {\beta _2} $	0.01
$ {\mu _1} $	0.1
$ {\mu _2} $	0.05
$ \lambda $	0.07
$ \delta $	0.01
$ \varphi $	0.01

下载: 导出CSV

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