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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security.

Guiyun Liu¹, Baihao Peng², Xiaojing Zhong¹

¹School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China.

Sensors (Basel, Switzerland)

|December 30, 2020

Summary

This study introduces a new SILS epidemic model for wireless rechargeable sensor networks (WRSNs). It analyzes security, charging, and reinfection, revealing optimal attack-defense strategies for WRSN security.

Keywords:

cyber security optimal control stability analysis wireless rechargeable sensor network

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Area of Science:

Computer Science
Network Security
Mathematical Biology

Background:

Wireless rechargeable sensor networks (WRSNs) face increasing security threats.
Understanding epidemic dynamics is crucial for WRSN security and stability.

Purpose of the Study:

To propose a novel SILS (Susceptible, Infected, Low-energy, Susceptible) epidemic model for WRSNs.
To analyze the stability of disease-free and epidemic equilibria.
To investigate the attack-defense game between malware and WRSNs.

Main Methods:

Development of the SILS epidemic model incorporating removal, charging, and reinfection.
Mathematical analysis of local and global stability for equilibrium points.
Simulation of the SILS model and analysis of charging rate impact on R0.
Construction and analysis of an attack-defense game model.

Main Results:

The basic reproductive number (R0) was derived, and stability analyses were performed.
Simulations demonstrated unique SILS model characteristics and the relationship between charging rate and R0.
Optimal strategies for malware and WRSNs in an attack-defense game were determined.

Conclusions:

The proposed SILS model provides insights into WRSN security dynamics.
Optimal strategies were validated, showing effectiveness in controlling malware spread and costs.
The study highlights the importance of considering charging dynamics in WRSN security models.