Survey on Peer-to-Peer Fog-based architecture for
Healthcare 4.0.
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I. I NTRODUCTION
The healthcare business is present process a massive shift
referred to as Healthcare 4.0, which is based totally on Fourth
Industrial Revolution ideas. This new paradigm brings together cutting-edge technologies which includes the Internet of
Things (IoT), big information analytics, synthetic intelligence
(AI), and clever healthcare structures to create extra integrated
and efficient healthcare surroundings . The last aim of Healthcare four.0 is to enhance patient care by imparting tailormade remedy alternatives, increasing operational efficiency,
and lowering general healthcare charges.This shift is being
pushed with the aid of rising call for for first-rate healthcare
offerings, the want for higher chronic infection management,
and an ageing worldwide population . Healthcare 4.0 aspires to
offer well timed and unique scientific interventions by means
of harnessing real-time records and interconnected technology,
in the long run enhancing patient effects and overall first-rate
of existence.
II. C HALLENGES OF H EALTHCARE 4.0
Despite its promising opportunities, the route to complete
adoption of Healthcare 4.0 has been fraught with demanding
situations. Keeping fitness records private and private is a
number one precedence. With the accelerated decentralization
of healthcare, there may be a extensive chance of cyberattacks
compromising essential patient information. Furthermore, the
extent of information created through medical devices and
structures creates tremendous impediments to facts integration
and collaboration. Regulatory compliance hampers the adoption and usage of latest healthcare technology.
III. P EER - TO -P EER F OG -BASED A RCHITECTURE
To cope with those difficulties, researchers and practitioners
are searching at novel answers, one in every of that’s a peerto-peer (P2P) fog-primarily based structure. Fog computing
extends cloud computing by shifting statistics processing
closer to the information assets, decreasing latency and taking
into account real-time records analysis . When used with P2P
networks, this structure enables clinical devices to talk directly
with one another, sharing and processing information locally
earlier than transmitting it to the cloud . This decentralized
strategy will increase the efficiency, resilience, and responsiveness of healthcare systems .
IV. B ENEFITS OF P EER - TO -P EER F OG -BASED
A RCHITECTURE
Applying fog-based peer-to-peer algorithms in health care
has various advantages. To begin with, it significantly speeds
up data processing, which is important in time-consuming
applications such as emergencies and critical care. Second,
real-time analytics can enable health care professionals to
make informed decisions in a timely manner based on the
most up-to-date patient data, ultimately improving patient
outcomes. architecture that disperses computing operations
in the network improves resource utilization and eliminates
complexity Finally, improving security through data storage
and centralization h will be.
V. R ESEARCH O BJECTIVES
1. Design and Implementation: Design and develop peerto-peer fog-based architecture specifically for Healthcare 4.0
applications.
2. Performance analysis: Determine the performance of the
proposed architecture in terms of data processing speed, latency, and resource usage.
3. Security Analysis: Identify the security and privacy implications of using P2P fog-based architectures in healthcare
contexts.
4. Problems and Solutions: Identify potential problems and
provide practical solutions for implementing this system in
health care settings.
R EFERENCES
[1] I. Roy, R. Mitra, N. Rahimi, and B. Gupta, ”Efficient Non-DHTBased RC-Based Architecture for Fog Computing in Healthcare 4.0,”
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https://doi.org/10.3390/iot4020008.
[2] L. He, M. Eastburn, J. Smirk, and H. Zhao, ”Smart Chemical Sensor
and Biosensor Networks for Healthcare 4.0,” Sensors, vol. 23, p. 5754,
2023. [Online]. Available: https://doi.org/10.3390/s23125754.
[3] A. M. Rahmani, T. N. Gia, B. Negash, A. Anzanpour, I. Azimi, M.
Jiang, and P. Liljeberg, ”Exploiting smart e-Health gateways at the
edge of healthcare Internet-of-Things: A fog computing approach,”
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[4] C. Mouradian, D. Naboulsi, S. Yangui, R. H. Glitho, M. J. Morrow, and P. A. Polakos, ”A comprehensive survey on fog computing: State-of-the-art and research challenges,” IEEE Commun. Surv.
Tutor., vol. 20, no. 1, pp. 416–464, 2017. [Online]. Available:
https://doi.org/10.1109/COMST.2017.2771153.
[5] S. Vyas, D. Bhargava, S. Khan, and D. Bhargava, ”Healthcare 4.0:
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9781003373582
[6] B. Farahani, F. Firouzi, V. Chang, M. Badaroglu, N. Constant, and
K. Mankodiya, ”Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare,” Future Gener. Comput. Syst., vol. 78, pp. 659-676, Jan. 2018. [Online]. Available:
https://doi.org/10.1016/j.future.2017.04.036.