Analysis of spreading dynamics of virus in wireless sensor networks

Xiao-juan LUO; Yu ZHU; Ru HUANG

doi:10.11959/j.issn.2096-3750.2017.00019

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Analysis of spreading dynamics of virus in wireless sensor networks

Theory and Technology | 更新时间：2024-06-05

- Analysis of spreading dynamics of virus in wireless sensor networks
- Chinese Journal on Internet of Things Vol. 1, Issue 2, Pages: 63-67(2017)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2017.00019
  CLC： TP393
- Published：30 September 2017，
  
  Published Online：2017-09，
- 稿件说明：
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XIAO-JUAN LUO, YU ZHU, RU HUANG. Analysis of spreading dynamics of virus in wireless sensor networks. [J]. Chinese journal on internet of things, 2017, 1(2): 63-67.
DOI：

XIAO-JUAN LUO, YU ZHU, RU HUANG. Analysis of spreading dynamics of virus in wireless sensor networks. [J]. Chinese journal on internet of things, 2017, 1(2): 63-67. DOI： 10.11959/j.issn.2096-3750.2017.00019.

摘要

针对无线传感器网络中病毒传播的问题，引入流行病理论的研究方法，提出一种具有免疫机制的病毒传播动力学模型。数值计算与实验仿真结果显示，当在网络的少量节点中引入免疫机制时，可以有效降低病毒传播速率，提高网络的抗病毒能力。同时，节点的通信半径、转移概率和节点密度等因素对传感网病毒传播有较大影响，动态调节这些参数可以使网络整体性能达到平衡。

Abstract

For virus propagation in wireless sensor networks

based on the epidemic theory

a virus propagation model with immune mechanism was proposed.Numerical calculations and experimental results show that when a small number of network nodes are added with immune mechanism

the virus propagation rate can be effectively reduced and the anti-virus capability of the network can be improved.At the same time

communication radius

transfer probability and node density of nodes have great influence on the propagation of sensor network virus.Dynamic adjustment of these parameters can make the whole network performance balance.

关键词

无线传感器网络病毒传播模型免疫机制流行病理论

Keywords

wireless sensor networks(WSN)virus spreading modelimmune mechanismepidemic theory

references

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