中国物理B ›› 2024, Vol. 33 ›› Issue (6): 60202-060202.doi: 10.1088/1674-1056/ad24d5
Xi-Xi Huang(黄习习)1, Min Xiao(肖敏)1,†, Leszek Rutkowski2, Hai-Bo Bao(包海波)3, Xia Huang(黄霞)3, and Jin-De Cao(曹进德)4
Xi-Xi Huang(黄习习)1, Min Xiao(肖敏)1,†, Leszek Rutkowski2, Hai-Bo Bao(包海波)3, Xia Huang(黄霞)3, and Jin-De Cao(曹进德)4
摘要: 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.
中图分类号: (Partial differential equations)