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Dynamics Analysis of a Wireless Rechargeable Sensor Network for Virus Mutation Spreading.
Guiyun Liu1, Zhimin Peng1, Zhongwei Liang1
1School of Machanical and Electric Engineering, Guangzhou University, Guangzhou 510006, China.
Entropy (Basel, Switzerland)
|June 2, 2021
Summary
This study introduces a new epidemic model for wireless rechargeable sensor networks (WSNs) that accounts for virus mutation and sensor energy levels. The model aims to improve virus control strategies in these networks.
Area of Science:
- Computer Science
- Network Security
- Epidemiology
Background:
- Virus spreading in wireless rechargeable sensor networks (WSNs) is a growing concern.
- Existing epidemic models often overlook sensor rechargeability and virus mutation.
Purpose of the Study:
- To propose a novel epidemic model for WSNs incorporating rechargeable sensors and virus mutation.
- To analyze the stability of the proposed model and develop optimal control strategies.
Main Methods:
- Developed a new epidemic model with states: susceptible, infected, variant, low-energy, and dead.
- Employed characteristic equations and Lyapunov functions for stability analysis.
- Formulated an optimal control problem using Pontryagin's maximum principle.
Main Results:
- The stability of the novel epidemic model was mathematically analyzed.
- An optimal control strategy was formulated to mitigate virus spread and reduce network costs.
- Numerical simulations validated the theoretical findings.
Conclusions:
- The proposed model effectively addresses virus spread in WSNs with rechargeable sensors and mutation.
- Optimal control strategies can significantly reduce virus impact and network operational costs.
- This research provides a foundation for enhanced network security and resilience.
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