Reanalyzing a simplified Markov model for the low-density P2P wireless sensor and actuator networks

Maadani, Mohsen

doi:10.1007/s11235-018-0482-9

Cited by 7 publications

(1 citation statement)

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“…Fog nodes include dispersed devices with limited computational and storage resources that are placed at the network edge and provide storage and networking resources and manage distributed computation [ 91 , 93 , 94 ]. In this architecture, each smart thing is connected to one of the fog nodes, fog nodes could be interconnected, and each of them is connected to the cloud [ 58 , 70 , 102 ]. Fog computing is a suitable solution for the healthcare system because it has real-time processing and fast response.…”

Section: Introductionmentioning

confidence: 99%

Fog-based healthcare systems: A systematic review

Ahmadi

Kashani

Nikravan

et al. 2021

Multimed Tools Appl

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The healthcare system aims to provide a reliable and organized solution to enhance the health of human society. Studying the history of patients can help physicians to consider patients’ needs in healthcare system designing and offering service, which leads to an increase in patient satisfaction. Therefore, healthcare is becoming a growing contesting market. With this significant growth in healthcare systems, such challenges as huge data volume, response time, latency, and security vulnerability are raised. Therefore, fog computing, as a well-known distributed architecture, could help to solve such challenges. In fog computing architecture, processing components are placed between the end devices and cloud components, and they execute applications. This architecture is suitable for such applications as healthcare systems that need a real-time response and low latency. In this paper, a systematic review of available approaches in the field of fog-based healthcare systems is proposed; the challenges of its application in healthcare are explored, classified, and discussed. First, the fog computing approaches in healthcare are categorized into three main classes: communication, application, and resource/service. Then, they are discussed and compared based on their tools, evaluation methods, and evaluation metrics. Finally, based on observations, some open issues and challenges are highlighted for further studies in fog-based healthcare.

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Section: Introductionmentioning

confidence: 99%