research-article

HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT

Authors:

Arman Anzanpour,

Amir M. Rahmani,

Tapio Pahikkala,

Marco Levorato,

Pasi Liljeberg,

Nikil DuttAuthors Info & Claims

ACM Transactions on Embedded Computing Systems (TECS), Volume 16, Issue 5s

Article No.: 174, Pages 1 - 20

https://doi.org/10.1145/3126501

Published: 27 September 2017 Publication History

Abstract

The Internet of Things (IoT) paradigm holds significant promises for remote health monitoring systems. Due to their life- or mission-critical nature, these systems need to provide a high level of availability and accuracy. On the one hand, centralized cloud-based IoT systems lack reliability, punctuality and availability (e.g., in case of slow or unreliable Internet connection), and on the other hand, fully outsourcing data analytics to the edge of the network can result in diminished level of accuracy and adaptability due to the limited computational capacity in edge nodes. In this paper, we tackle these issues by proposing a hierarchical computing architecture, HiCH, for IoT-based health monitoring systems. The core components of the proposed system are 1) a novel computing architecture suitable for hierarchical partitioning and execution of machine learning based data analytics, 2) a closed-loop management technique capable of autonomous system adjustments with respect to patient’s condition. HiCH benefits from the features offered by both fog and cloud computing and introduces a tailored management methodology for healthcare IoT systems. We demonstrate the efficacy of HiCH via a comprehensive performance assessment and evaluation on a continuous remote health monitoring case study focusing on arrhythmia detection for patients suffering from CardioVascular Diseases (CVDs).

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https://dl.acm.org/doi/10.1007/s10586-024-04930-5
El-Gayar OBojja GAmbati LBoit JNawar N(2024)The Impact of the Internet of Things in Healthcare DeliveryImpact of Digital Solutions for Improved Healthcare Delivery10.4018/979-8-3693-5237-3.ch002(35-100)Online publication date: 18-Oct-2024
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HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT

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Published In

cover image ACM Transactions on Embedded Computing Systems

ACM Transactions on Embedded Computing Systems Volume 16, Issue 5s

Special Issue ESWEEK 2017, CASES 2017, CODES + ISSS 2017 and EMSOFT 2017

October 2017

1448 pages

ISSN:1539-9087

EISSN:1558-3465

DOI:10.1145/3145508

Editor:
Sandeep K. Shukla
Indian Institute of Technology, India

Issue’s Table of Contents

Copyright © 2017 ACM.

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ACM Journals for the Design of Smart and Connected Systems

Publication History

Published: 27 September 2017

Accepted: 01 June 2017

Revised: 01 June 2017

Received: 01 April 2017

Published in TECS Volume 16, Issue 5s

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Cited By

Jan ISofi S(2025)Fog assisted data size reduction based data management system for optimizing resources in medical IoTCluster Computing10.1007/s10586-024-04930-528:3Online publication date: 1-Jun-2025
https://dl.acm.org/doi/10.1007/s10586-024-04930-5
El-Gayar OBojja GAmbati LBoit JNawar N(2024)The Impact of the Internet of Things in Healthcare DeliveryImpact of Digital Solutions for Improved Healthcare Delivery10.4018/979-8-3693-5237-3.ch002(35-100)Online publication date: 18-Oct-2024
https://doi.org/10.4018/979-8-3693-5237-3.ch002
Batra ISom S(2024)Architecture, Framework, and Models for Edge-AI in HealthcarePractical Applications of Data Processing, Algorithms, and Modeling10.4018/979-8-3693-2909-2.ch004(44-56)Online publication date: 14-Jun-2024
https://doi.org/10.4018/979-8-3693-2909-2.ch004
He QXi ZFeng ZTeng YMa LCai YYu K(2024)Telemedicine Monitoring System Based on Fog/Edge Computing: A SurveyIEEE Transactions on Services Computing10.1109/TSC.2024.3506473(1-20)Online publication date: 2024
https://doi.org/10.1109/TSC.2024.3506473
Singhal CWu YMalandrino FLevorato MChiasserini C(2024)Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected SystemsIEEE INFOCOM 2024 - IEEE Conference on Computer Communications10.1109/INFOCOM52122.2024.10621218(1621-1630)Online publication date: 20-May-2024
https://doi.org/10.1109/INFOCOM52122.2024.10621218
Mullick ASenguptta S(2024)Machine Learning-Based Analysis of IoT Healthcare Data- A Review of Contemporary Research2024 International Conference on Computer, Electrical & Communication Engineering (ICCECE)10.1109/ICCECE58645.2024.10497422(1-9)Online publication date: 2-Feb-2024
https://doi.org/10.1109/ICCECE58645.2024.10497422
Raman RVerma MKumar VRastogi SPillai BMeenakshi R(2024)Fog Computing Integrated with and Blockchain Technology for Accurate Disease Prediction2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE60783.2024.10616443(677-682)Online publication date: 14-May-2024
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Elizabeth JEmmanuel MAswini EPathak SBhuvaneswari MChoubey A(2024)A Novel and Accurate Method of Diagnosis via AI and ML for Smart HC System2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE60783.2024.10616422(1987-1992)Online publication date: 14-May-2024
https://doi.org/10.1109/ICACITE60783.2024.10616422
Manogaran NNandagopal MAbi NSeerangan KBalusamy BSelvarajan S(2024)Integrating meta-heuristic with named data networking for secure edge computing in IoT enabled healthcare monitoring systemScientific Reports10.1038/s41598-024-71506-z14:1Online publication date: 15-Sep-2024
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Bota PSilva RCarreiras CFred Ada Silva H(2024)BioSPPy: A Python toolbox for physiological signal processingSoftwareX10.1016/j.softx.2024.10171226(101712)Online publication date: May-2024
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