使用雾计算的基于物联网的健康监测系统:精确回顾

T.M.Saravanan, T. Kavitha, S. Hemalatha, M. Ajmal
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引用次数: 0

摘要

该研究的重点是基于物联网的健康监测系统计算,以及它们目前的使用方式和地点。就这些设备提出了建议,如何改进它们,以及如何在更少的人类接触下以更准确的方式控制它们。最小化网络和服务横向休眠并保护系统带宽是物联网医疗保健的关键要求。数据量和Internet连接因素都可能导致数据分析和系统操作中的高网络延迟。由于网络过载,云无法实时传输患者的健康记录、服务延迟和广泛的物联网系统数据传输。雾计算是一种处理云和物联网医疗保健需求的现代方式。本研究的目的是利用雾计算中的虚拟化接口方法,实时为组织和医生提供安全的患者健康信息记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
IoT Based Health Observance System using Fog Computing: A Precise Review
The study focuses on IoT based computing for the health observance system, how and where they are in use now. Having provided a recommendation on these devices, how they can be improved and how they can be controlled in a more accurate way with less human contact. A least network and service dormancy laterally with the protection of system bandwidth is the key requirement for IoT healthcare. Both data volume and Internet connection factors can contribute to high network latency in data analysis and system action. As a result of the network overload, the cloud is unable to transfer the patient's health records, service latency and wide IoT system data transmission in real time. Fog computing is a modern way to handle the cloud and IoT healthcare requirements. The proposed research is supposed is to provide secure health records of patient information in real-time to organizations and physicians using the virtualization interface method in fog computing.
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