Article icon
Original research

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

* Автор, отвечающий за переписку

[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

Ключевые слова

Smart healthcare,  Artificial Intelligence,  Edge computing,  Fog computing
Скачать PDF
Кардиометрия в Телеграм
Текущий выпуск
Библиотека Кардиометрии
Основатели Кардиометрии
Видео о Кардиометрии
Club of long-livers 90+
Наши партнеры