The DOI matches its Crossref record; 123 of the 123 references it cites were found in a registry or an index.
Secure Healthcare Data Aggregation and Transmission in IoT—A Survey
Open accessAbstract
Internet of medical things (IoMT) is getting researchers' attention due to its wide applicability in healthcare. Smart healthcare sensors and IoT enabled medical devices exchange data and collaborate with other smart devices without human interaction to securely transmit collected sensitive healthcare data towards the server nodes. Alongside data communications, security and privacy is also quite challenging to securely aggregate and transmit healthcare data towards Fog and cloud servers. We explored the existing surveys to identify a gap in literature that a survey of fog-assisted secure healthcare data collection schemes is yet contributed in literature. This paper presents a survey of different data collection and secure transmission schemes where Fog computing based architectures are considered. A taxonomy is presented to categorize the schemes. Fog assisted smart city, smart vehicle and smart grids are also considered that achieve secure, efficient and reliable data collection with low computational cost and compression ratio. We present a summary of these scheme along with analytical discussion. Finally, a number of open research challenges are identified. Moreover, the schemes are explored to identify the challenges that are addressed in each scheme.
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“Another challenging task is to manage several devices remotely and without any loss in time or management. Because in this type of framework, there is a need to integrate devices along with their data and information coming from different aspects [208].”
From Federated learning-based AI approaches in smart healthcare: Concepts, taxonomies, challenges and open issues (2023) · cites this paper as [208]
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Cites
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
The Internet of Things for Health Care: A Comprehensive Survey
Islam, S. M. R., Kwak, D., Kabir, M. H., Hossain, M., & Kwak, K.-S. (2015) · IEEE Access · doi:10.1109/access.2015.2437951 · Cited by 3,199
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2683200 · Cited by 2,793
Security, privacy and trust in Internet of Things: The road ahead
Sicari, S., Rizzardi, A., Grieco, L. A., & Coen‐Porisini, A. (2014) · Computer Networks · doi:10.1016/j.comnet.2014.11.008 · Cited by 2,341
A Survey on Security and Privacy Issues in Internet-of-Things
Yang, Y., Wu, L., Yin, G., Li, L., & Zhao, H. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2694844 · Cited by 1,280
A survey on wireless body area networks
Latré, B., Braem, B., Moerman, I., Blondia, C. L., & Demeester, P. (2010) · Wireless Networks · doi:10.1007/s11276-010-0252-4 · Cited by 1,100
The Fog Computing Paradigm: Scenarios and Security Issues
Stojmenovic, I., & Wen, S. (2014) · Annals of Computer Science and Information Systems · doi:10.15439/2014f503 · Cited by 1,037
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022
Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare
Farahani, B., Firouzi, F., Chang, V. I. C., Badaroglu, M., Constant, N. P., & Mankodiya, K. (2017) · Future Generation Computer Systems · doi:10.1016/j.future.2017.04.036 · Cited by 991
A decentralized privacy-preserving healthcare blockchain for IoT
Dwivedi, A. D., Srivastava, G., Dhar, S., & Singh, R. (2019) · Sensors · doi:10.3390/s19020326 · Cited by 881
Cited by
Sorted by citations
IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review
Abdulmalek, S., Nasir, A., Jabbar, W. A., Almuhaya, M. A. M., Bairagi, A. K., Khan, M. A.-M., & Kee, S. (2022) · Healthcare · doi:10.3390/healthcare10101993 · Cited by 477
“In the IoT, latency is the duration needed to send a packet of data between node devices [97].”
BackgroundRahman, A., Hossain, M. S., Muhammad, G., Kundu, D., Debnath, T., Rahman, M., Khan, M. S. I., Tiwari, P., & Band, S. S. (2023) · Cluster Computing · doi:10.1007/s10586-022-03658-4 · Cited by 399
“Because in this type of framework, there is a need to integrate devices along with their data and information coming from different aspects [208].”
BackgroundIoT-Enabled Smart Energy Grid: Applications and Challenges
Abir, S. M. A. A., Anwar, A., Choi, J., & Kayes, A. S. M. (2021) · IEEE Access · doi:10.1109/access.2021.3067331 · Cited by 319
“The Internet of Things (IoT) is a rapidly emerging field of technologies that delivers numerous cutting-edge solutions in various The associate editor coordinating the review of this manuscript and approving it for publication was Giovanni Pau . application domains [1].”
BackgroundA Survey on IoT-Enabled Smart Grids: Emerging, Applications, Challenges, and Outlook
Goudarzi, A., Ghayoor, F., Waseem, M., Fahad, S., & Traoré, I. (2022) · Energies · doi:10.3390/en15196984 · Cited by 224
“The IoT supports bidirectional communications and distributed computational capabilities, so it can be considered a potential solution to address inescapable difficulties in transitioning traditional energy networks into updated smart grid systems [7,8].”
Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity
Dang, V. A., Khanh, Q. V., Nguyen, V.-H., Nguyễn, V. T., & Nguyen, D. C. (2023) · Sensors · doi:10.3390/s23094200 · Cited by 123
“The survey results show that Smart healthcare applications use one of three computing solutions (CC [7,8,10,16], FC [12,14], or EC [21]) or a combination of solutions [9,11,14,15,17,20]. healthcare systems are receiving substantial attention from academia and industry.”
Background
Metadata
- Authors
- Ullah, A., Azeem, M., Ashraf, H., Alaboudi, A. A., Humayun, M., & Jhanjhi, N.
- Affiliations
- National University of Modern Languages (PK)
- International Islamic University, Islamabad (PK)
- Shaqra University (SA)
- Venue
- IEEE Access
- Published
- 2021
- Volume
- 9
- Pages
- 16849-16865
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3126450618
- Cited by
- 213
- References
- 123
- Citations by year
- 2026: 16 · 2025: 34 · 2024: 46 · 2023: 49 · 2022: 53 · 2021: 15
- FWCI
- 18.24
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- IEEE Access (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Keywords
- Internet of Medical Things, secure data transmission, fog computing, healthcare data privacy, data compression, smart cities, intelligent vehicles, smart grid
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