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

With the development of wireless sensor networks (WSNs), energy constraints and network security have become the main problems. This paper discusses the dynamic of the Susceptible, Infected, Low-energy, Susceptible model under pulse charging (SILS-P) in wireless rechargeable sensor networks. After t...

Full description

Bibliographic Details
Main Authors: Guiyun Liu, Ziyi Huang, Xilai Wu, Zhongwei Liang, Fenghuo Hong, Xiaokai Su
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/23/8/927
_version_ 1797523983713697792
author Guiyun Liu
Ziyi Huang
Xilai Wu
Zhongwei Liang
Fenghuo Hong
Xiaokai Su
author_facet Guiyun Liu
Ziyi Huang
Xilai Wu
Zhongwei Liang
Fenghuo Hong
Xiaokai Su
author_sort Guiyun Liu
collection DOAJ
description With the development of wireless sensor networks (WSNs), energy constraints and network security have become the main problems. This paper discusses the dynamic of the Susceptible, Infected, Low-energy, Susceptible model under pulse charging (SILS-P) in wireless rechargeable sensor networks. After the construction of the model, the local stability and global stability of the malware-free T-period solution of the model are analyzed, and the threshold <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> is obtained. Then, using the comparison theorem and Floquet theorem, we obtain the relationship between <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> and the stability. In order to make the conclusion more intuitive, we use simulation to reveal the impact of parameters on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula>. In addition, the paper discusses the continuous charging model, and reveals its dynamic by simulation. Finally, the paper compares three charging strategies: pulse charging, continuous charging and non-charging and obtains the relationship between their threshold values and system parameters.
first_indexed 2024-03-10T08:50:53Z
format Article
id doaj.art-9b7fece0d16c41419f337f4411109f3d
institution Directory Open Access Journal
issn 1099-4300
language English
last_indexed 2024-03-10T08:50:53Z
publishDate 2021-07-01
publisher MDPI AG
record_format Article
series Entropy
spelling doaj.art-9b7fece0d16c41419f337f4411109f3d2023-11-22T07:33:47ZengMDPI AGEntropy1099-43002021-07-0123892710.3390/e23080927Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor NetworksGuiyun Liu0Ziyi Huang1Xilai Wu2Zhongwei Liang3Fenghuo Hong4Xiaokai Su5School of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaSchool of Mechanical and Electric Engineering, Guangzhou University, Guangzhou 510006, ChinaWith the development of wireless sensor networks (WSNs), energy constraints and network security have become the main problems. This paper discusses the dynamic of the Susceptible, Infected, Low-energy, Susceptible model under pulse charging (SILS-P) in wireless rechargeable sensor networks. After the construction of the model, the local stability and global stability of the malware-free T-period solution of the model are analyzed, and the threshold <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> is obtained. Then, using the comparison theorem and Floquet theorem, we obtain the relationship between <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula> and the stability. In order to make the conclusion more intuitive, we use simulation to reveal the impact of parameters on <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>R</mi><mn>0</mn></msub></mrow></semantics></math></inline-formula>. In addition, the paper discusses the continuous charging model, and reveals its dynamic by simulation. Finally, the paper compares three charging strategies: pulse charging, continuous charging and non-charging and obtains the relationship between their threshold values and system parameters.https://www.mdpi.com/1099-4300/23/8/927wireless rechargeable sensor networkscomparison theoremFloquet theorempersistence
spellingShingle Guiyun Liu
Ziyi Huang
Xilai Wu
Zhongwei Liang
Fenghuo Hong
Xiaokai Su
Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks
Entropy
wireless rechargeable sensor networks
comparison theorem
Floquet theorem
persistence
title Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks
title_full Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks
title_fullStr Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks
title_full_unstemmed Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks
title_short Modelling and Analysis of the Epidemic Model under Pulse Charging in Wireless Rechargeable Sensor Networks
title_sort modelling and analysis of the epidemic model under pulse charging in wireless rechargeable sensor networks
topic wireless rechargeable sensor networks
comparison theorem
Floquet theorem
persistence
url https://www.mdpi.com/1099-4300/23/8/927
work_keys_str_mv AT guiyunliu modellingandanalysisoftheepidemicmodelunderpulsecharginginwirelessrechargeablesensornetworks
AT ziyihuang modellingandanalysisoftheepidemicmodelunderpulsecharginginwirelessrechargeablesensornetworks
AT xilaiwu modellingandanalysisoftheepidemicmodelunderpulsecharginginwirelessrechargeablesensornetworks
AT zhongweiliang modellingandanalysisoftheepidemicmodelunderpulsecharginginwirelessrechargeablesensornetworks
AT fenghuohong modellingandanalysisoftheepidemicmodelunderpulsecharginginwirelessrechargeablesensornetworks
AT xiaokaisu modellingandanalysisoftheepidemicmodelunderpulsecharginginwirelessrechargeablesensornetworks