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Mobile Networks and Applications
Published in: Mobile Networks and Applications 2/2023

12-04-2022

Study QoS-aware Fog Computing for Disease Diagnosis and Prognosis

Authors: Dandan Peng, Le Sun, Rui Zhou, YiLin Wang

Published in: Mobile Networks and Applications | Issue 2/2023

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Abstract

The development of medical sensors and the Internet of Things (IoT) offers many opportunities for research on disease diagnosis and prognosis in the electronic healthcare (eHealth) industry. IoT medical applications use wearable medical sensor devices that can be connected to the Internet for remote monitoring. However, cloud computing technology cannot meet the real-time and low-latency requirements of IoT applications in eHealth. As an intermediate layer between things and clouds, fog computing has features such as enhanced low latency, mobility, network bandwidth, security and privacy. Therefore, fog computing is very useful for the diagnosis and prognosis of diseases in the eHealth industry. In this paper, we undertake a comprehensive survey on fog computing used in eHealth. We summarize the main challenges in the eHealth industry and analyze the corresponding solutions proposed by the existing works.
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Metadata
Title
Study QoS-aware Fog Computing for Disease Diagnosis and Prognosis
Authors
Dandan Peng
Le Sun
Rui Zhou
YiLin Wang
Publication date
12-04-2022
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 2/2023
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-022-01957-z

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