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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Shah, H. V. (2026) · Elsevier eBooks · doi:10.1016/b978-0-44-333000-1.00010-9
Muthusamy, S., SARATHKUMAR, D., Bharathi, G. P., Ali, M. F. B., Sangeetha, S. R., & Subramani, S. M. (2025) · IEEE North Karnataka Subsection Flagship International Conference (NKCon) · doi:10.1109/nkcon66957.2025.11345741
“Finally, Jia et al. [13] considered the IoT adoption in smart buildings, providing the overview of enabling technologies and their role in providing sustainable infrastructure.”
Nikhila, A. N. N., & Devarapalli, D. (2026) · International Journal of Innovative Technology and Exploring Engineering · doi:10.35940/ijitee.b1208.15020126
Challenges and solutions in implementing Internet of Things in rural health care
Chauhan, D., Bahad, P., & Deshpande, M. V. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-38299-4.00002-3
Sivaiah, B., Tejaswini, V., Jyothi, G., Shiny, X. S. A., & Rajheshwari, K. C. (2026) · Smart innovation, systems and technologies · doi:10.1007/978-3-032-18974-5_42
Intelligent and Secure Data Transmission in MANET based IoT Network using Hybrid CSHHO Algorithm
Satyanarayana, P., Rohitha, K. N. V. K., Aravind, B. L., Rajeswari, D., Penmetsa, K. R., & Krishnan, V. G. (2026) · International Conference on Networking and Communications (ICNWC) · doi:10.1109/icnwc68145.2026.11518478
“Ullah et al. [9] introduced an extensive review of the literature on the topic of healthcare data aggregation and transmission under the conditions of the Internet of Things (IoT) and confirmed the importance of confidentiality, integrity, and the availability of sensitive medical information.”
Data Management in Edge Computing: A Systematic Survey of Techniques, Challenges and Research Scope
Natu, S., Goyal, A., & Kant, S. (2026) · Communications in computer and information science · doi:10.1007/978-981-95-7289-2_11
Dhanasekar, S., Sagayam, K. M., Ansarullah, S. I., & Alshmrany, S. (2026) · Frontiers in Communications and Networks · doi:10.3389/frcmn.2026.1762548
Privacy-Preserving Patient Data Storage in Cloud Environments
Baladhandapani, R., Grandhi, S. H., Kasinayakanahally, B. N. R., Elegbeleye, F. A., Paneru, B., & Kalaikumaran, T. (2026) · International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) · doi:10.1109/icicv68925.2026.11554690
“On the healthcare front, Yaqoop et al. Yaqoop et al. [21] and Ullah et al. [22] also identified the latest innovations and breakthroughs in secure healthcare data handling through the application of blockchain technology to improve transparency, traceability, immutability, data provenance, privacy,…”
Node Prioritization and Dynamic Slot Allocation for Emergency Event Communication in Wbans
Shibu, K. R., & Jose, A. (2026) · Wireless Personal Communications · doi:10.1007/s11277-026-12160-8
Khalef, R., Moulahcene, F., Merazga, A., Nacer, S., Bermak, A., & Ammari, M. (2026) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet65726.2026.11632561
“…problems by implementing the RPMS system, which is designed to adhere to HIPAA and GDPR laws with the use of multilayer encryption techniques, including HTTPS, Blynk Bridge cloud technology, AES-128 sensor-layer encryption, TLS 1.2 transport, and role-based access control (RBAC) for doctors [13].”
InfluentialKhalef, R., Moulahcene, F., Bermak, A., Merazga, A., & Dibi, Z. (2026) · IEEE Sensors Journal · doi:10.1109/jsen.2026.3721780
“Secure communication is established through HTTPS over TLS 1.3, employing AES-256-GCM encryption, elliptic curve Di ffi e–Hellman ephemeral (ECDHE) key exchange, and mutual TLS client authentication [28].”
InfluentialA comparative Analysis on Multi-technique approach for data aggregation in WSN
Priya, S. P., & Pavalarajan, S. (2026) · IEEE International Conference on Sustainable Energy and Future Electric Transportation (SEFET) · doi:10.1109/sefet69291.2026.11687524
“This leads to better performance in areas like smart agriculture and healthcare monitoring[21].”
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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