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Study QoS-aware Fog Computing for Disease Diagnosis and Prognosis

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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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Authors and Affiliations

  1. Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Information Science & Technology, Nanjing, 210044, China

    Dandan Peng, Le Sun & YiLin Wang

  2. Department of Computer Science and Software Engineering, Swinburne University of Technology, VIC, Swinburne, Australia

    Rui Zhou

Authors
  1. Dandan Peng
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  2. Le Sun
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  3. Rui Zhou
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  4. YiLin Wang
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Correspondence to Le Sun.

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Supported by the National Natural Science Foundation of China (Grants No 61702274) and the Natural Science Foundation of Jiangsu Province (Grants No BK20170958), the Postgraduate Research & Practice Innovation Program of Jiangsu Province (Grants No KYCX20_0980),PAPD, and Australian Research Council Discovery Project DP180100212.

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Peng, D., Sun, L., Zhou, R. et al. Study QoS-aware Fog Computing for Disease Diagnosis and Prognosis. Mobile Netw Appl 28, 452–459 (2023). https://doi.org/10.1007/s11036-022-01957-z

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