首页|Mechanism analysis of regulating Turing instability and Hopf bifurcation of malware propagation in mobile wireless sensor networks

Mechanism analysis of regulating Turing instability and Hopf bifurcation of malware propagation in mobile wireless sensor networks

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A dynamical model is constructed to depict the spatial-temporal evolution of malware in mobile wireless sensor networks(MWSNs).Based on such a model,we design a hybrid control scheme combining parameter perturbation and state feedback to effectively manipulate the spatiotemporal dynamics of malware propagation.The hybrid control can not only suppress the Turing instability caused by diffusion factor but can also adjust the occurrence of Hopf bifurcation induced by time delay.Numerical simulation results show that the hybrid control strategy can efficiently manipulate the transmission dynamics to achieve our expected desired properties,thus reducing the harm of malware propagation to MWSNs.

mobile wireless sensor networksreaction-diffusionHopf bifurcationhybrid control

黄习习、肖敏、Leszek Rutkowski、包海波、黄霞、曹进德

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College of Automation & College of Artificial Intelligence,Nanjing University of Posts and Telecommunications,Nanjing 210023,China

Systems Research Institute of the Polish Academy of Sciences,01-447 Warsaw,Poland

College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China

School of Mathematics,Southeast University,Nanjing 210096,China

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国家自然科学基金江苏省自然科学基金

62073172BK20221329

2024

10.1088/1674-1056/ad24d5

中国物理B(英文版)
中国物理学会和中国科学院物理研究所

中国物理B(英文版)

CSTPCDEI
影响因子：0.995
ISSN：1674-1056
年,卷(期)：2024.33(6)
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