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RETRACTED ARTICLE: A Review Article on Wireless Sensor Networks in View of E-epidemic Models
M N Srinivas1, V Madhusudanan2, A V S N Murty1
1Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu 632014 India.
Wireless Personal Communications
|April 12, 2021
Summary
This review models malicious code spread in wireless sensor networks (WSNs) using epidemic simulations. It assesses e-pandemic models and WSN applications in health, agriculture, and military sectors.
Area of Science:
- Computer Science
- Network Security
- Mathematical Modeling
Background:
- Wireless Sensor Networks (WSNs) are vulnerable to malware due to their open nature.
- Malware attacks can disrupt WSN operations or cause complete network failure.
- Epidemic simulations are increasingly used to model malicious code dynamics in WSNs.
Purpose of the Study:
- To review and assess e-pandemic models for WSNs.
- To explore WSN applications in clinical health, agribusiness, and military sectors.
- To summarize factors influencing WSN adoption based on epidemic models.
Main Methods:
- Review of existing literature on epidemic models (e.g., SIR-M, SEIRV, SEIQRV, SEIRS, SITR) applied to WSNs.
- Analysis of research consequences of various e-pandemic models.
- Assessment of WSN benefits and applications across different sectors.
Main Results:
- Various epidemic models characterize worm dynamics in WSNs.
- WSNs have significant applications in healthcare, agriculture, and military operations.
- Understanding epidemic model factors is crucial for WSN deployment.
Conclusions:
- Epidemic modeling provides valuable insights into WSN security.
- WSNs offer substantial advantages in diverse application domains.
- Future research should focus on advanced epidemic models for WSNs.
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