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. 2023 Jun 6:9:20552076231179056.
doi: 10.1177/20552076231179056. eCollection 2023 Jan-Dec.

Role of Internet of things in diabetes healthcare: Network infrastructure, taxonomy, challenges, and security model

Muhammad Shoaib Farooq  1 , Shamyla Riaz  1 , Rabia Tehseen  2 , Uzma Farooq  1 , Khalid Saleem  3
Affiliations

Role of Internet of things in diabetes healthcare: Network infrastructure, taxonomy, challenges, and security model

Muhammad Shoaib Farooq et al. Digit Health. .

Abstract

The Internet of things (IoT) is an emerging technology that enables ubiquitous devices to connect with the Internet. IoT technology has revolutionized the medical and healthcare industry by interconnecting smart devices and sensors. IoT-based devices and biosensors are ideal to detect diabetes disease by collecting the accurate value of glucose continuously. Diabetes is one of the well-known and major chronic diseases that has a worldwide social impact on community life. Blood glucose monitoring is a challenging task, and there is a need to propose a proper architecture of the noninvasive glucose sensing and monitoring mechanism, which could make diabetic people aware of self-management techniques. This survey presents a rigorous discussion of diabetes types and presents detection techniques based on IoT technology. In this research, an IoT-based healthcare network infrastructure has been proposed for monitoring diabetes disease based on big data analytics, cloud computing, and machine learning. The proposed infrastructure could handle the symptoms of diabetes, collect data, analyze it, and then transmit the results to the server for the next action. Besides, presented an inclusive survey on IoT-based diabetes monitoring applications, services, and proposed solutions. Furthermore, based on IoT technology the diabetes disease management taxonomy has also been presented. Finally, presented the attacks taxonomy as well as discussed challenges, and proposed a lightweight security model in order to secure the patient's health data.

Keywords: Internet of things; architecture; challenges; diabetes monitoring; framework; healthcare; security attacks; sensor networks.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
Diabetes monitoring sensors and medical staff interdependency.
Figure 2.
Figure 2.
IoT-enabled diabetes trends.
Figure 3.
Figure 3.
Medical database architecture for diabetes type 1.
Figure 4.
Figure 4.
Type 2 diabetic patient monitoring flowchart.
Figure 5.
Figure 5.
IoT-based diabetes disease monitoring network architecture.
Figure 6.
Figure 6.
IoT-enabled diabetes monitoring framework based on big data analytics and machine learning.
Figure 7.
Figure 7.
IoT-based diabetes monitoring network platform based on cloud computing.
Figure 8.
Figure 8.
Diabetes monitoring taxonomy based on IoT.
Figure 9.
Figure 9.
IoT-based diabetes monitoring services.
Figure 10.
Figure 10.
Worldwide diabetes spread.
Figure 11.
Figure 11.
IoT attacks taxonomy in diabetes disease network.
Figure 12.
Figure 12.
A lightweight security model.
See this image and copyright information in PMC

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