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

Darpan Majumder^1*, S. Mohan Kumar²

¹ Research Scholar,Department of Information Science and Engineering, New Horizon College of Engineering Research Centre, Visvesvaraya Technological University (VTU),
Bangalore

² Dean and Professor, Department of CSE, Nagarjuna College of Engineering and Technology,
Bangalore

* Corresponding author

[email protected]

Abstract

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.

Imprint

Darpan Majumder, S. Mohan Kumar. A distributed e-health management model with edge computing in healthcare framework. Cardiometry; Issue 22; May 2022; p.444-455; DOI: 10.18137/cardiometry.2022.22.444455; Available from: https://www.cardiometry.net/issues/no22-may-2022/distributed_e-health_management

Keywords

Smart healthcare, Artificial Intelligence, Edge computing, Fog computing

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