移动无线传感器网络中抑制病毒传播模型

doi:10.11772/j.issn.1001-9081.2019040736

计算机应用 ›› 2020, Vol. 40 ›› Issue (1): 129-135.DOI: 10.11772/j.issn.1001-9081.2019040736

移动无线传感器网络中抑制病毒传播模型

吴三柱¹, 李鹏², 吴三斌³

1. 西安石油大学计算机学院, 西安 710065;
2. 陕西师范大学计算机科学学院, 西安 710119;
3. 榆林职业技术学院管理工程系, 陕西榆林 719100

收稿日期:2019-04-29 修回日期:2019-07-21 出版日期:2020-01-10 发布日期:2019-08-26
通讯作者: 吴三柱
作者简介:吴三柱(1989-),男,陕西榆林人,硕士,主要研究方向:无线传感器网络;李鹏(1981-),男,陕西扶风人,副教授,博士,CCF会员,主要研究方向:移动自组织网络通信、音频视频多媒体数据分析、教育技术学;吴三斌(1984-),男,陕西榆林人,讲师,硕士,主要研究方向:无线传感器网络。
基金资助:
国家自然科学基金资助项目（61877037，61872228，61702317，61373083）。

Virus propagation suppression model in mobile wireless sensor networks

WU Sanzhu¹, LI Peng², WU Sanbin³

1. School of Computer Science, Xi'an Shiyou University, Xi'an Shaanxi 710065, China;
2. School of Computer Science, Shaanxi Normal University, Xi'an Shaanxi 710119, China;
3. Department of Management Engineering, Yulin Vocational and Technical College, Yulin Shaanxi 719100, China

Received:2019-04-29 Revised:2019-07-21 Online:2020-01-10 Published:2019-08-26
Supported by:
This work is partially supported by the National Natural Science Foundation of China (61877037, 61872228, 61702317, 61373083).

摘要/Abstract

摘要： 为了更好地控制病毒在移动无线传感器网络中的传播，根据传染病学理论建立了改进的病毒传播的动力学模型。该模型不仅在网络中加入死亡节点，还增加了病毒节点在传播过程中的通信半径以及移动和停留两种状态。之后针对该模型建立微分方程组，并进行平衡点存在性和稳定性分析，得出病毒传播的控制和消亡条件，进而分析了节点通信半径、移动速度、密度、易感节点免疫率、感染节点病毒查杀率和节点死亡率等对移动无线传感器网络中病毒传播的影响。最后通过仿真实验表明，调整该模型中的参数可以有效地遏制病毒在移动无线传感器网络中的传播。

关键词: 移动无线传感器网络, 病毒传播模型, 平衡点, 稳定性, 抑制

Abstract: To better control the propagation of virus in mobile wireless sensor networks, an improved dynamics model of virus propagation was established according to the theory of infectious diseases. The dead nodes were put into the network, and the communication radius, the moving and staying states of virus nodes during the propagation process were also added. Then the differential equations were established aiming at the model, and the existence and stability of equilibrium point were analyzed. The control and extinction conditions of virus propagation were gotten. Furthermore, the effects of following factors on virus propagation in mobile wireless sensor networks were analyzed:node communication radius, moving velocity, density, immunity rate of susceptible nodes, virus detection rate of infected nodes and node mortality. Finally, the simulation results show that adjusting the parameters in the model can effectively suppress the virus propagation in mobile wireless sensor networks.

Key words: mobile wireless sensor network, virus propagation model, equilibrium point, stability, suppression

中图分类号:

吴三柱, 李鹏, 吴三斌. 移动无线传感器网络中抑制病毒传播模型[J]. 计算机应用, 2020, 40(1): 129-135.

WU Sanzhu, LI Peng, WU Sanbin. Virus propagation suppression model in mobile wireless sensor networks[J]. Journal of Computer Applications, 2020, 40(1): 129-135.

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移动无线传感器网络中抑制病毒传播模型

Virus propagation suppression model in mobile wireless sensor networks

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