Dynamical Behavior Analysis of a Time-Delay SIRS-L Model in Rechargeable Wireless Sensor Networks

Guiyun Liu, Junqiang Li, Zhongwei Liang and Zhimin Peng
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Guiyun Liu: School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China
Junqiang Li: School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China
Zhongwei Liang: School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China
Zhimin Peng: School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China

Mathematics, 2021, vol. 9, issue 16, 1-21

Abstract: The traditional SIRS virus propagation model is used to analyze the malware propagation behavior of wireless rechargeable sensor networks (WRSNs) by adding a new concept: the low-energy status nodes. The SIRS-L model has been developed in this article. Furthermore, the influence of time delay during the charging behavior of the low-energy status nodes needs to be considered. Hopf bifurcation is studied by discussing the time delay that is chosen as the bifurcation parameter. Finally, the properties of the Hopf bifurcation are explored by applying the normal form theory and the center manifold theorem.

Keywords: SIRS-L model; stability; Hopf bifurcation; wireless rechargeable sensor networks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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