The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Survey on the Roles of Communication Technologies in IoT-Based Personalized Healthcare Applications
Open accessAbstract
The vision of the Internet of Things (IoT) is to enable systems across the globe to share data using advanced communication technologies. With the recent technological advancements, IoT-based solutions are no longer a challenging vision. IoT will offer numerous and potentially revolutionary benefits to today’s digital world. Future personalized and connected healthcare is one of the promising areas to see the benefits of IoT. This paper surveys emerging healthcare applications, including detailed technical aspects required for the realization of a complete end-to-end solution for each application. The survey explores the key application-specific requirements from the perspective of communication technologies. Furthermore, a detailed exploration from the existing to the emerging technologies and standards that would enable such applications is presented, highlighting the critical consideration of short-range and long-range communications. Finally, the survey highlights important open research challenges and issues specifically related to IoT-based future healthcare systems.
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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
Low power wide area networks: an overview
Raza, U., Kulkarni, P., & Sooriyabandara, M. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2652320 · Cited by 2,047
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659 · cited 1×
“[15] presents the security issue in fog computing for IoT.”
BackgroundInternet of Things: Security vulnerabilities and challenges
Andrea, I., Chrysostomou, C., & Hadjichristofi, G. (2015) · 2015 IEEE Symposium on Computers and Communication (ISCC) · doi:10.1109/iscc.2015.7405513 · Cited by 520
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Cited by
Differential Privacy Techniques for Cyber Physical Systems: A Survey
Hassan, M. U., Rehmani, M. H., & Chen, J. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2944748 · Cited by 564
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
IoT-Enabled Smart Agriculture: Architecture, Applications, and Challenges
Quy, V. K., Hau, N. V., Anh, D. V., Quy, N. M., Ban, N. T., Lanza, S., Randazzo, G., & Muzirafuti, A. (2022) · Applied Sciences · doi:10.3390/app12073396 · Cited by 458
A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective
Habibzadeh, H., Dinesh, K., Rajabi Shishvan, O., Boggio-Dandry, A., Sharma, G., & Soyata, T. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2946359 · Cited by 417
Ahmad, I., Shahabuddin, S., Kumar, T., Okwuibe, J., Gurtov, A., & Ylianttila, M. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2916180 · Cited by 366
Metadata
- Authors
- Alam, M. M., Malik, H., Khan, M. I., Pardy, T., Kuusik, A., & Le Moullec, Y.
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 36611-36631
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2858974629
- Cited by
- 272
- References
- 6
- FWCI
- 20.23
- Type
- journal article
- Language
- en
- Open access
- gold
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- Alam, M. M., Malik, H., Khan, M. I., Pardy, T., Kuusik, A., & Le Moullec, Y. (2018). A Survey on the Roles of Communication Technologies in IoT-Based Personalized Healthcare Applications. IEEE Access. https://doi.org/10.1109/access.2018.2853148
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
