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- Title
ASC Performance Prediction for Medical IoT Communication Networks.
- Authors
Yin, Fagen; Xiao, Pingping; Li, Zefeng
- Abstract
Wearable devices are gradually entering the medical health field. Medical Internet of Things (IoT) has been widely used in all walks of medical health. With the complexity of medical health application scenarios, the medical IoT communication networks face complex environments. The secure communication issue is very important for medical IoT communication networks. This paper investigates the secrecy performance of medical IoT communication networks. To improve the secrecy performance, we adopt a cooperative communication strategy. We also use the average secrecy capacity (ASC) as a metric, and the expressions are first derived. Then, a secrecy performance intelligent prediction algorithm is proposed. The extensive simulations are used to verify the proposed method. Compared with other methods, the proposed algorithm realizes a better prediction precision.
- Subjects
TELECOMMUNICATION systems; MEDICAL communication; FITNESS walking; INTERNET of things; FORECASTING; COMMUNICATION strategies
- Publication
Journal of Healthcare Engineering, 2021, p1
- ISSN
2040-2295
- Publication type
Article
- DOI
10.1155/2021/6265520