1. Epidemic spreading in wireless sensor networks with node sleep scheduling
- Author
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Wu, Yanqing, Pu, Cunlai, Zhang, Gongxuan, Li, Lunbo, Xia, Yongxiang, and Xia, Chengyi
- Subjects
Networking and Internet Architecture (cs.NI) ,FOS: Computer and information sciences ,Computer Science - Networking and Internet Architecture ,Computer Science - Cryptography and Security ,FOS: Electrical engineering, electronic engineering, information engineering ,Systems and Control (eess.SY) ,Cryptography and Security (cs.CR) ,Electrical Engineering and Systems Science - Systems and Control - Abstract
Wireless Sensor Networks (WSNs) have become widely used in various fields like environmental monitoring, smart agriculture, and health care. However, their extensive usage also introduces significant vulnerabilities to cyber viruses. Addressing this security issue in WSNs is very challenging due to their inherent limitations in energy and bandwidth to implement real-time security measures. To tackle the virus issue, it is crucial to first understand how it spreads in WSNs. In this brief, we propose a novel epidemic spreading model for WSNs, integrating the susceptible-infected-susceptible (SIS) epidemic spreading model and node probabilistic sleep scheduling--a critical mechanism for optimizing energy efficiency. Using the microscopic Markov chain (MMC) method, we derive the spreading equations and epidemic threshold of our model. We conduct numerical simulations to validate the theoretical results and investigate the impact of key factors on epidemic spreading in WSNs. Notably, we discover that the epidemic threshold is directly proportional to the ratio of node sleeping and node activation probabilities., This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
- Published
- 2023