移动无线传感器网络中抑制病毒传播模型  被引量:4

Virus propagation suppression model in mobile wireless sensor networks

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作  者:吴三柱 李鹏[2] 吴三斌[3] WU Sanzhu;LI Peng;WU Sanbin(School of Computer Science,Xi’an Shiyou University,Xi’an Shaanxi 710065,China;School of Computer Science,Shaanxi Normal University,Xi’an Shaanxi 710119,China;Department of Management Engineering,Yulin Vocational and Technical College,Yulin Shaanxi 719100,China)

机构地区:[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

出  处:《计算机应用》2020年第1期129-135,共7页journal of Computer Applications

基  金:国家自然科学基金资助项目(61877037,61872228,61702317,61373083)~~

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。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.

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 

分 类 号:TP212.9[自动化与计算机技术—检测技术与自动化装置] TP393.01[自动化与计算机技术—控制科学与工程]

 

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