Implementation of Fog computing in IoT-based healthcare system

Maksimović, Mirjana

doi:10.7251/jit1702100m

Cited by 12 publications

(4 citation statements)

References 15 publications

(35 reference statements)

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“…Integration should not be limited to large systems and clouds; fog computing should also be taken into consideration. Unlike cloud technology, where data and applications are processed in the cloud, which is a time-consuming task when working with Big Data like medical imaging series, the concept of fog computing and the IoT (Internet of Thing) significantly reduces data size [ 11 ]. Ready, prepared, and usable information is sent over the network, while local biomedical signals are not sent to the cloud.…”

Section: Artificial Intelligencementioning

confidence: 99%

Enhancing Scientific Research Opportunities and E-Learning by Integrating Large Medical ISs

Dugonjić¹,

Travar²,

Avramović³

et al. 2021

The 1st International Conference on Maritime Education and Development

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Healthcare facilities in the world have several large information systems such as PACS, HIS, RIS, etc. These information systems store a huge amount of medical and personal information. Integrating these systems could provide many new opportunities, including knowledge management, training, telemedicine, etc. These days, we are witnessing the pandemic of the new COVID-19 virus and the fact that the problems caused by this virus have not been sufficiently investigated. In order to adequately respond to such situations, it is necessary to have timely, accurate, consolidated, and sorted data. This paper presents the possibilities of obtaining this information from already existing information systems as well as challenges and requirements it sets. On the other hand, specific standards are proposed to be met for e-learning purposes, as well as training for medical staff. Integration can also be bidirectional with the help of telemedicine in remote locations such as inaccessible areas, islands, or overseas ships in order to provide better medical care.

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Section: Artificial Intelligencementioning

confidence: 99%

Enhancing Scientific Research Opportunities and E-Learning by Integrating Large Medical ISs

Dugonjić¹,

Travar²,

Avramović³

et al. 2021

The 1st International Conference on Maritime Education and Development

View full text Add to dashboard Cite

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“…Leading proponents brought into IoT-based environments by Fog computing, privacy and security concerns remain the primary challenge for its deployment. This paper presents the reasons for the convergence of the IoT-based healthcare system and Fog computing, advantages and challenges, as well as the proposal of a simple low-cost system [16].…”

Section: Background Studymentioning

confidence: 99%

Fog Enabled Cloud Based Heart Rate Monitoring System

Arulmozhiselvan

2021

Advances in Parallel Computing Technologies and Applications

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The world has seen a substantial growth in the number of senior citizens who often endure from heart disease in recent times and has seen a major spread of the viral disease (COVID-19) in recent months, resulting in thousands of deaths, particularly among the elderly and people suffering from heart disease. Among the most promising health care that seek to relieve the suffering of patients, particularly the elderly, by eliminating the trouble of going to hospital centers for treatment and enabling them to obtain medical attention in their homes. The IoT has been depended on and its use has seen broad adoption in health care, where it is commonly used remotely to track patient health. Fog computing expands the computational capabilities of the cloud to the edge devices of the IoT, enabling many smart devices in healthcare to provide services such as storing and retrieving information to their users. However in the traditional cloud-based system, there is a timing delay in providing a reliable and secure heart monitoring system. The main objective of this work is to develop a fog-enabled cloud-based (FECB) heart rate monitoring unit that allows better network use and energy consumption. In terms of performance metrics, such as latency and delay, the proposed system also outperforms the existing system.

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“…This improves scalability, provides redundancy, thus increasing availability. More fog nodes can be added when additional computing power is needed [8]- [11]. Combing access control and fog computing is essential for enforcing real-time access control decisions which is required in IoT applications such as healthcare systems mainly remote health monitoring, smart home management, etc.…”

Section: Introductionmentioning

confidence: 99%

A Distributed Fog-based Access Control Architecture for IoT

2021

KSII TIIS

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The evolution of IoT technology is having a significant impact on people's lives. Almost all areas of people's lives are benefiting from increased productivity and simplification made possible by this trending technology. On the downside, however, the application of IoT technology is posing some security challenges, among them, unauthorized access to IoT devices. This paper presents an Attribute-based Access Control Fog architecture that aims to achieve effective distribution, increase availability and decrease latency. In the proposed architecture, the main functional points of the Attribute-based Access Control are distributed to provide policy decision and policy information mechanisms in fog nodes, locating these functions near end nodes. To evaluate the proposed architecture, an access control engine based on the Attribute-based Access Control was built using the Balana library and simulated using EdgeCloudSim to compare it to the traditional cloud-based architecture. The experiments show that the fog-based architecture provides robust results in terms of reducing latency in making access decisions.

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Implementation of Fog computing in IoT-based healthcare system

Cited by 12 publications

References 15 publications

Enhancing Scientific Research Opportunities and E-Learning by Integrating Large Medical ISs

Enhancing Scientific Research Opportunities and E-Learning by Integrating Large Medical ISs

Fog Enabled Cloud Based Heart Rate Monitoring System

A Distributed Fog-based Access Control Architecture for IoT

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