The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT
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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Cites
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Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
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Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
Fog Computing: A Platform for Internet of Things and Analytics
Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014) · Studies in Computational Intelligence · doi:10.1007/978-3-319-05029-4_7 · Cited by 1,222
Rahmani, A. M., Gia, T. N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., & Liljeberg, P. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.014 · Cited by 1,198
Self-citationAn IoT-Aware Architecture for Smart Healthcare Systems
Catarinucci, L., de Donno, D., Mainetti, L., Palano, L., Patrono, L., Stefanizzi, M. L., & Tarricone, L. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2417684 · Cited by 1,167
An overview of the Internet of Things for people with disabilities
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Cited by
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.02.009 · Cited by 1,368
Enabling technologies for fog computing in healthcare IoT systems
Mutlag, A. A., Abd Ghani, M. K., Arunkumar, N., Mohammed, M. A., & Mohd, O. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2018.07.049 · Cited by 590
A systematic review of IoT in healthcare: Applications, techniques, and trends
Haghi Kashani, M., Madanipour, M., Nikravan, M., Asghari, P., & Mahdipour, E. (2021) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2021.103164 · Cited by 491
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
Tuli, S., Mahmud, R., Tuli, S., & Buyya, R. (2019) · Journal of Systems and Software · doi:10.1016/j.jss.2019.04.050 · Cited by 392
Trends in IoT based solutions for health care: Moving AI to the edge
Greco, L., Percannella, G., Ritrovato, P., Tortorella, F., & Vento, M. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2020.05.016 · Cited by 318
Metadata
- Authors
- Azimi, I., Anzanpour, A., Rahmani, A. M., Pahikkala, T., Levorato, M., Liljeberg, P., & Dutt, N.
- Venue
- ACM Transactions on Embedded Computing Systems
- Published
- 2017-09-27
- Volume
- 16
- Issue
- 5s
- Pages
- 1-20
- ISSN
- 1539-9087 (ISSN-L)
- 1558-3465
- OpenAlex
- W2757855038
- Cited by
- 170
- References
- 9
- FWCI
- 12.47
- Type
- journal article
- Language
- en
- Open access
- closed
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- Azimi, I., Anzanpour, A., Rahmani, A. M., Pahikkala, T., Levorato, M., Liljeberg, P., & Dutt, N. (2017). HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT. ACM Transactions on Embedded Computing Systems. https://doi.org/10.1145/3126501
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