Table 1.

Researches on stability of epidemic model in Wireless sensor networks (WSNs).

Authors	Model	Characteristics	Stability
J.D. HernándezGuillén et al. [20]	SCIRS	Considering the carrier state, population dynamics, and vaccination and reinfection processes	Local and global stability in malware-free and epidemic points
S.G. Shen et al. [23]	VCQPS	Considering both the heterogeneity and mobility of heterogeneous and mobile sensor nodes	Local and global stability in malware-free point
Linhe Zhu et al. [24]	SBD	Considering the nonlinear incidence rate and time delay in complex networks	Local and global stability in rumor-free point
P.K. Srivastava et al. [25]	SEIAR	Considering the anti-malware process	Local and global stability in worm-free point
S. Hosseini et al. [26]	SEIRS-QV	Considering the impacts of user awareness, network delay and diverse configuration of nodes	Local and global stability in malware-free point
D.W. Huang et al. [21]	SIPS	Considering the patch injection mechanism	Local and global stability in epidemic point
L.H. Zhu et al. [22]	I2S2R	Considering the effect of time delay both in homogeneous networks and heterogeneous networks	Local and global stability in malware-free and epidemic points
R.P. Ojha et al. [27]	SEIQRV	Considering both quarantine and vaccination techniques	Local and global stability in worm-free point
S.R. Biswal et al. [28]	SEIRD	Considering the early detection and removal process	Local and global stability in worm-free point