A distributed e-health management model with edge computing in healthcare framework

被引:0
|
作者
Majumder, Darpan [1 ]
Kumar, S. Mohan [2 ]
机构
[1] Visvesvaraya Technol Univ VTU, New Horizon Coll Engn Res Ctr, Dept Informat Sci & Engn, Bangalore, Karnataka, India
[2] Nagarjuna Coll Engn & Technol, Dept CSE, Bangalore, Karnataka, India
来源
CARDIOMETRY | 2022年 / 22期
关键词
Smart healthcare; Artificial Intelligence; Edge computing; Fog computing; COMMUNICATION;
D O I
10.18137/cardiometry.2022.22.444455
中图分类号
R446 [实验室诊断]; R-33 [实验医学、医学实验];
学科分类号
1001 ;
摘要
Edge healthcare system is recognized as an acceptable paradigm for resolving this problem. The IoMT is divided into two sub-networks - intraWBANs and beyond-WBANs - based on the physical bonds of WBANs. Given the features of the healthcare systems, medical emergency, AoI and power depreciation are the prices of MUs. Intra-WBANs, a cooperative game shapes the wireless channel resource allocation problem. The Nash negotiation solution is used to get the unique optimum point in Pareto. MUs are regarded reasonable and perhaps egoistic in non-WBANs. Another non-cooperative activity is therefore developed to reduce overall system costs. The assessments of the performance of the system-wide cost and of the number of MUs gaining from edge computer systems are done to illustrate the success of our solution. Finally, for further effort, numerous barriers to research and open questions are highlighted.
引用
收藏
页码:444 / 455
页数:12
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