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Survey on Smart Personalized Healthcare System in Fog-Assisted Cloud Environments

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Communication and Intelligent Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 461))

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Abstract

The proliferation of the Internet of things has enabled the penetration of many smart devices in order to enhance the life quality of people. As a growing healthcare trend, many enterprises have released their smart wearable personalized healthcare devices to monitor the health status of individuals anywhere at any time. These health devices exploit various IoT sensors to collect the user’s health parameters which has to be analyzed quickly to meet stringent requirements of latency sensitive healthcare applications. The IoT devices are not sufficient for performing such large-scale and compute-intensive analytics due to its resource constraints. Current cloud-based solutions play a significant role in execution of IoT applications, but it has limitations in terms of geographical centralized architecture, multi-hop distance from the data source which adversely affects the latency sensitivity of the IoT services. To combat this issue, the fog computing has emerged as a promising paradigm that provides cloud-like elastic services to the close proximity of end devices. This paper provides detail survey on the concerns and challenges associated with the development of smart personalized fog-assisted healthcare system and highlights the promising future research directions.

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Authors and Affiliations

  1. National Institute of Technology, Calicut, Kozhikode, India

    T. Veni

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  1. T. Veni
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Correspondence to T. Veni .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Rajasthan Technical University, Kota, India

    Harish Sharma

  2. Institutional Area Narela Delhi, National Institute of Technology Delhi, New Delhi, India

    Vivek Shrivastava

  3. Design and Manufacturing, Indian Institute of Information Technology, Jabalpur, India

    Kusum Kumari Bharti

  4. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore

    Lipo Wang

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Veni, T. (2022). Survey on Smart Personalized Healthcare System in Fog-Assisted Cloud Environments. In: Sharma, H., Shrivastava, V., Kumari Bharti, K., Wang, L. (eds) Communication and Intelligent Systems . Lecture Notes in Networks and Systems, vol 461. Springer, Singapore. https://doi.org/10.1007/978-981-19-2130-8_25

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