Strengthening Existing Internet of Things System Security: Case Study of Improved Security Structure in Smart Health

This article is about an architectural hardware-software model creation—home-based smart health model—to boost healthcare to a higher position within society. As an emerging field, smart health modeling is still insufficient. Current smart health services are hospital centered, data are scattered and application dependent, and health service provision presents attention delays. Analyses of Internet of things, Internet of medical things, and smart health applications potentials are the bases for the proposed home-based smart health model. The model aims to facilitate the smart health development and strengthening. To evaluate whether the model does what it must do, first, check lists on how the model complies with current and future devices and applications, smart health impacts and smart health potentialities, and second, a case study analyses the model conformity through an Internet of things sophisticated cloud app.

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Internet of Things (IoT) Based Smart Health Monitoring System – A Case Study

International Journal of Computational and Electronic Aspects in Engineering ◽

10.26706/ijceae.2.3.20210615 ◽

2021 ◽

Vol 2 (3) ◽

Author(s):

Pradip Balbudhe ◽

Disha Sune ◽

Manjiri Kapkar ◽

Shivani Meshram ◽

Vidya Kaikade ◽

...

Keyword(s):

Internet Of Things ◽

Monitoring System ◽

Health Monitoring ◽

Health Monitoring System ◽

System A ◽

Smart Health

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Convergence of Artificial Intelligence and Internet of Things in Smart Healthcare: A Case Study of Voice Pathology Detection

IEEE Access ◽

10.1109/access.2021.3090317 ◽

2021 ◽

pp. 1-1

Author(s):

Ghulam Muhammad ◽

Musaed Alhussein

Keyword(s):

Artificial Intelligence ◽

Internet Of Things ◽

Smart Healthcare ◽

Voice Pathology Detection

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Machine Learning and LPWAN Based Internet of Things Applications in Healthcare Sector during COVID-19 Pandemic

Electronics ◽

10.3390/electronics10141615 ◽

2021 ◽

Vol 10 (14) ◽

pp. 1615

Author(s):

Zeeshan Ali Khan ◽

Ubaid Abbasi ◽

Sung Won Kim

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

Healthcare Services ◽

Healthcare Sector ◽

K Nearest Neighbors ◽

Iot Applications ◽

Processing Resources ◽

Multiple Services ◽

Applications Of Machine Learning

Low power wide area networks (LPWAN) are comprised of small devices having restricted processing resources and limited energy budget. These devices are connected with each other using communication protocols. Considering their available resources, these devices can be used in a number of different Internet of Things (IoT) applications. Another interesting paradigm is machine learning, which can also be integrated with LPWAN technology to embed intelligence into these IoT applications. These machine learning-based applications combine intelligence with LPWAN and prove to be a useful tool. One such IoT application is in the medical field, where they can be used to provide multiple services. In the scenario of the COVID-19 pandemic, the importance of LPWAN-based medical services has gained particular attention. This article describes various COVID-19-related healthcare services, using the the applications of machine learning and LPWAN in improving the medical domain during the current COVID-19 pandemic. We validate our idea with the help of a case study that describes a way to reduce the spread of any pandemic using LPWAN technology and machine learning. The case study compares k-Nearest Neighbors (KNN) and trust-based algorithms for mitigating the flow of virus spread. The simulation results show the effectiveness of KNN for curtailing the COVID-19 spread.

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