A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security

Abstract

With the development of wireless rechargeable sensor networks (WRSNs ), security issues of WRSNs have attracted more attention from scholars around the world. In this paper, a novel epidemic model, SILS(Susceptible, Infected, Low-energy, Susceptible), considering the removal, charging and reinfection process of WRSNs is proposed. Subsequently, the local and global stabilities of disease-free and epidemic equilibrium points are analyzed and simulated after obtaining the basic reproductive number R0. Detailedly, the simulations further reveal the unique characteristics of SILS when it tends to being stable, and the relationship between the charging rate and R0. Furthermore, the attack-defense game between malware and WRSNs is constructed and the optimal strategies of both players are obtained. Consequently, in the case of R0<1 and R0>1, the validity of the optimal strategies is verified by comparing with the non-optimal control group in the evolution of sensor nodes and accumulated cost.

Dynamics Analysis of a Wireless Rechargeable Sensor Network for Virus Mutation Spreading

“…Liu et al [19] considered the low-energy factor to construct a model of WRSNs, and the stability of the model was proved. According to Liu et al [19][20][21][22], the system is a good combination of an epidemic dynamic model and wireless sensor network. Thus, the system skillfully blends the information of the WRSNs with biological characteristics.…”

Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks

“…Similarly, it assumes that all sensor nodes have the same mortality rate γ. Based on existing studies [21], the SILS model can be expressed as follows .…”

“…The main purpose of this study is to extend the existing network model [21] and verify the stability of disease-free periodic solutions and the persistence of disease. We improved the charging strategy of the existing model to make it more energy efficient.…”

“…We improved the charging strategy of the existing model to make it more energy efficient. In the next section, we propose the improved version of the SILS model under pulse charging [21]. In Section 3, the stability of the periodic solution is proved by the next generation matrix and Floquet theory.…”

SIR1R2: Characterizing Malware Propagation in WSNs With Second Immunization

“…Li et al [37] proposed a DDSEIR model to analyze CPS malware propagation based on states Disseminate, Discriminate, Spread, Exposed, Ignorant, and Recover. Liu et al [38] presented an SILS model to disclose the epidemic process in wireless rechargeable sensor networks, which consists of states Susceptible, Infectious, Low-energy, and Susceptible. Muthukrishnan et al [39] gave a WSNs nodebased epidemic SITPS model including states Susceptible, Infectious, Traced, Patched, and Susceptible.…”