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A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security

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 reinfectio...

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Detalles Bibliográficos
Autores principales: Liu, Guiyun, Peng, Baihao, Zhong, Xiaojing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795025/
https://www.ncbi.nlm.nih.gov/pubmed/33375512
http://dx.doi.org/10.3390/s21010123
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author Liu, Guiyun
Peng, Baihao
Zhong, Xiaojing
author_facet Liu, Guiyun
Peng, Baihao
Zhong, Xiaojing
author_sort Liu, Guiyun
collection PubMed
description 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 [Formula: see text]. Detailedly, the simulations further reveal the unique characteristics of SILS when it tends to being stable, and the relationship between the charging rate and [Formula: see text]. 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 [Formula: see text] and [Formula: see text] , 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.
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spelling pubmed-77950252021-01-10 A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security Liu, Guiyun Peng, Baihao Zhong, Xiaojing Sensors (Basel) Article 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 [Formula: see text]. Detailedly, the simulations further reveal the unique characteristics of SILS when it tends to being stable, and the relationship between the charging rate and [Formula: see text]. 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 [Formula: see text] and [Formula: see text] , 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. MDPI 2020-12-27 /pmc/articles/PMC7795025/ /pubmed/33375512 http://dx.doi.org/10.3390/s21010123 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Guiyun
Peng, Baihao
Zhong, Xiaojing
A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security
title A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security
title_full A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security
title_fullStr A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security
title_full_unstemmed A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security
title_short A Novel Epidemic Model for Wireless Rechargeable Sensor Network Security
title_sort novel epidemic model for wireless rechargeable sensor network security
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7795025/
https://www.ncbi.nlm.nih.gov/pubmed/33375512
http://dx.doi.org/10.3390/s21010123
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