Analysis of Time-Delay Epidemic Model in Rechargeable Wireless Sensor Networks

被引:5
|
作者
Liu, Guiyun [1 ]
Li, Junqiang [1 ]
Liang, Zhongwei [1 ]
Peng, Zhimin [1 ]
机构
[1] Guangzhou Univ, Sch Mech & Elect Engn, Guangzhou 510006, Peoples R China
基金
中国国家自然科学基金;
关键词
wireless rechargeable sensor network; time delay; stability analysis; optimal control; MALWARE PROPAGATION;
D O I
10.3390/math9090978
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
With the development of wireless rechargeable sensor networks (WRSNs), many scholars began to attach attention to network security under the spread of viruses. This paper mainly studies a novel low-energy-status-based model SISL (Susceptible, Infected, Susceptible, Low-Energy). The conversion process from low-energy nodes to susceptible nodes is called charging. It is noted that the time delay of the charging process in WRSNs should be considered. However, the charging process and its time delay have not been investigated in traditional epidemic models in WRSNs. Thus, the model SISL is proposed. The basic reproduction number, the disease-free equilibrium point, and the endemic equilibrium point are discussed here. Meanwhile, local stability and global stability of the disease-free equilibrium point and the endemic equilibrium point are analyzed. The addition of the time-delay term needs to be analyzed to determine whether it affects the stability. The intervention treatment strategy under the optimal control is obtained through the establishment of the Hamiltonian function and the application of the Pontryagin principle. Finally, the theoretical results are verified by simulations.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] Global stability and control strategies of a SIQRS epidemic model with time delay
    Ma, Yuanyuan
    Cui, Yue
    Wang, Min
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2022, 45 (13) : 8269 - 8293
  • [22] Delay parameter identification for time-delay Boolean networks and Boolean control networks
    Mu, Tiantian
    Wang, Biao
    Feng, Jun-E
    2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 1360 - 1365
  • [23] Optimal treatment of an SIR epidemic model with time delay
    Zaman, Gul
    Kang, Yong Han
    Jung, Il Hyo
    BIOSYSTEMS, 2009, 98 (01) : 43 - 50
  • [24] Analysis of an SIRS epidemic model with time delay on heterogeneous network
    Qiming Liu
    Meici Sun
    Tao Li
    Advances in Difference Equations, 2017
  • [25] Analysis of an SIRS epidemic model with time delay on heterogeneous network
    Liu, Qiming
    Sun, Meici
    Li, Tao
    ADVANCES IN DIFFERENCE EQUATIONS, 2017,
  • [26] Epidemic spreading with time delay on complex networks
    Rui-xia Zhang
    Zhen Jin
    Shu-ping Li
    Acta Mathematicae Applicatae Sinica, English Series, 2016, 32 : 319 - 326
  • [27] Epidemic Spreading with Time Delay on Complex Networks
    Rui-xia ZHANG
    Zhen JIN
    Shu-ping LI
    ActaMathematicaeApplicataeSinica, 2016, 32 (02) : 319 - 326
  • [28] Epidemic Spreading with Time Delay on Complex Networks
    Zhang, Rui-xia
    Jin, Zhen
    Li, Shu-ping
    ACTA MATHEMATICAE APPLICATAE SINICA-ENGLISH SERIES, 2016, 32 (02): : 319 - 326
  • [29] Bifurcation analysis of an e-epidemic model in wireless sensor network
    Upadhyay, Ranjit Kumar
    Kumari, Sangeeta
    INTERNATIONAL JOURNAL OF COMPUTER MATHEMATICS, 2018, 95 (09) : 1775 - 1805
  • [30] Bilateral control of teleoperators with time-delay:: Stability analysis
    Azorín, JM
    Aracil, R
    Sabater, JM
    Fernández, C
    INTERNET BASED CONTROL EDUCATION 2001, 2002, : 195 - 200