Optimizing Telemedicine Framework Using Fog Computing for Smart Healthcare Systems

International journal of sensor networks and data communications Pub Date : 2023-06-22 DOI:10.33140/jsndc.03.01.08

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Abstract

The main aim of this research is to optimize the telemedicine framework using fog computing for smart healthcare systems in IoT ecosystem. In this research we have studied about the historical background, different architectural designs and approaches of the pre-existing telemedicine and smart healthcare systems. This research mainly focuses on the drawbacks and different issues that arise while developing and implementing a smart telemedicine system. We used Fog computing or fogging to solve the problems and also to optimize the telemedicine framework with 263 ms for smart healthcare systems. Generally this research work proposes, validates and evaluates telemedicine frameworks using Cloud Computing and Fog computing for smart healthcare systems. The research also shows and guides how to optimize and overcome the drawbacks of the issues that arises mainly the Network Latency issue. The finding in this project has a guide for the future in-order to come up with a sharp edged, most reliable and robust smart healthcare system in telemedicine framework for IoT ecosystem. It can also be used as a part of a smart healthcare system in the Smart cities in the future

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在智能医疗系统中使用雾计算优化远程医疗框架

本研究的主要目的是利用雾计算优化物联网生态系统中智能医疗系统的远程医疗框架。在本研究中，我们研究了已有的远程医疗和智能医疗系统的历史背景、不同的架构设计和方法。本文主要针对智能远程医疗系统在开发和实施过程中出现的缺陷和各种问题进行了研究。我们使用雾计算或雾化来解决问题，并以263毫秒优化智能医疗系统的远程医疗框架。一般来说，这项研究工作提出，验证和评估使用云计算和雾计算智能医疗系统的远程医疗框架。该研究还显示并指导了如何优化和克服主要由网络延迟问题引起的问题的缺点。该项目的发现对未来具有指导意义，以便在物联网生态系统的远程医疗框架中提出一个锋利，最可靠和强大的智能医疗系统。它还可以作为未来智慧城市智能医疗系统的一部分

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International journal of sensor networks and data communications

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