A Channel Allocation Algorithm for Non-cooperative Game-enhanced Learning for the Internet of Medical Things

Konferenz: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
17.12.2021 - 19.12.2021 in Shenyang, China

Tagungsband: ICMLCA 2021

Seiten: 5Sprache: EnglischTyp: PDF

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Autoren:
Liang, Ying; Zhu, Xiao; Zhang, LinCong (School of Information Science and Engineering, Shenyang University of Technology, Shenyang, China)

Inhalt:
In this paper, in order to reduce interference between medical IoT device networks, balance network energy consumption, establish an optimal game model of joint channel distribution and power control. The model is characterized by network interference and node residual energy. In addition, the model also considers the relationship between channel distribution and power control. In addition, an enhanced learning channel distribution algorithm based on non-cooperative game is designed, and it is proved that the algorithm converges on Nash equilibrium. The simulation results show that this paper has good network performance with small interference and uniform energy consumption.