The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Fog computing for Healthcare 4.0 environment: Opportunities and challenges
Abstract
Abstract Internet of things provides interaction with billions of objects across the world using the Internet. In Internet of thing era, Healthcare Industry has grown-up from 1.0 to 4.0 generation. Healthcare 3.0 was hospital centric, where patients of long-lasting sickness suffered a lot due to multiple hospital visits for their routine checkups. This in turn, prolonged the treatment of such patients along with an increase in the overall expenditure on treatment of patients. However, with recent technological advancements such as fog and cloud computing, these problems are mitigated with a minimum capital investment on computing and storage facilities related to the data of the patients. Motivated from these facts, this paper provide an analysis of the role of fog computing, cloud computing, and Internet of things to provide uninterrupted context-aware services to the end users as and when required. We propose a three layer patient-driven Healthcare architecture for real-time data collection, processing and transmission. It gives insights to the end users for the applicability of fog devices and gateways in Healthcare 4.0 environment for current and future applications.
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Cites
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
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., & Mankodiya, K. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.04.036 · Cited by 983
Fog Computing in Healthcare Internet of Things: A Case Study on ECG Feature Extraction
Gia, T. N., Jiang, M., Rahmani, A.-M., Westerlund, T., Liljeberg, P., & Tenhunen, H. (2015) · 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing · doi:10.1109/cit/iucc/dasc/picom.2015.51 · Cited by 436
Secure and Sustainable Load Balancing of Edge Data Centers in Fog Computing
Puthal, D., Obaidat, M. S., Nanda, P., Prasad, M., Mohanty, S. P., & Zomaya, A. Y. (2018) · IEEE Communications Magazine · doi:10.1109/mcom.2018.1700795 · Cited by 236
Fog computing based efficient IoT scheme for the Industry 4.0
Peralta, G., Iglesias-Urkia, M., Barcelo, M., Gomez, R., Moran, A., & Bilbao, J. (2017) · 2017 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM) · doi:10.1109/ecmsm.2017.7945879 · Cited by 193
Towards energy-aware fog-enabled cloud of things for healthcare
Mahmoud, M. M. E., Rodrigues, J. J. P. C., Saleem, K., Al-Muhtadi, J. F., Kumar, N., & Korotaev, V. V. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2018.02.047 · Cited by 150
Self-citationHe, D., Kumar, N., Wang, H., Wang, L., Choo, K. R., & Vinel, A. V. (2016) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2016.2596286 · Cited by 145
Self-citationElmisery, A. M., Rho, S., & Botvich, D. (2016) · IEEE Access · doi:10.1109/access.2016.2631546 · Cited by 124
E-HAMC: Leveraging Fog computing for emergency alert service
Aazam, M., & Huh, E. (2015) · IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) · doi:10.1109/percomw.2015.7134091 · Cited by 111
FAAL: Fog computing-based patient monitoring system for ambient assisted living
Vora, J., Tanwar, S., Tyagi, S., Kumar, N., & Rodrigues, J. J. P. C. (2017) · IEEE International Conference on e-Health Networking, Applications and Services (Healthcom) · doi:10.1109/healthcom.2017.8210825 · Cited by 107
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Mistry, I., Tanwar, S., Tyagi, S., & Kumar, N. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2019.106382 · Cited by 585
Self-citationMedical 4.0 technologies for healthcare: Features, capabilities, and applications
Haleem, A., Javaid, M., Pratap Singh, R., & Suman, R. (2022) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2022.04.001 · Cited by 468
An exhaustive survey on security and privacy issues in Healthcare 4.0
Hathaliya, J. J., & Tanwar, S. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.02.018 · Cited by 462
Self-citationMbunge, E., Muchemwa, B., Jiyane, S., & Batani, J. (2021) · Global Health Journal · doi:10.1016/j.glohj.2021.11.008 · Cited by 348
Blockchain envisioned uav networks: challenges, solutions, and comparisons
Mehta, P., Gupta, R., & Tanwar, S. (2020) · Computer Communications · doi:10.1016/j.comcom.2020.01.023 · Cited by 266
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Metadata
- Authors
- Kumari, A., Tanwar, S., Tyagi, S., & Kumar, N.
- Venue
- Computers & Electrical Engineering
- Publisher
- Elsevier BV
- Published
- 2018-11
- Volume
- 72
- Pages
- 1-13
- ISSN
- 0045-7906 (ISSN-L)
- OpenAlex
- W2891745995
- Cited by
- 503
- References
- 18
- FWCI
- 35.17
- Type
- journal article
- Language
- en
- Open access
- closed
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