The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Internet of Things: A survey of enabling technologies in healthcare and its applications
Abstract
Abstract Internet of Things (IoT) on the Wireless Body Area Network (WBAN) for healthcare applications is an operative scenario for IoT devices that has gained attention from vast research fields in recent years. The IoT connects all subjects and the healthcare system seamlessly. This paper describes the WBAN based IoT healthcare system and reviews the state-of-the-art of the network architecture topology and applications in the IoT based healthcare solutions. Moreover, this paper analyzes the security and the privacy features consisting of privacy, authentication, energy, power, resource management, Quality of Services and the real-time wireless health monitoring that are quite problematic in many IoT healthcare architectures. Because, system architecture is not well-defined, data restriction and its integrity preservation is still a challenge. At present 90% of the information available is acquired in the recent two years. This survey mainly aims at analyzing healthcare purpose which is based on digital healthcare system. Further, it reports many IoT and the e-healthcare policies and systems that decide how to ease all bearable development. Thus, the overall system provides large possibilities for future research based on IoT healthcare system. Finally, research gaps are reviewed and the possible future aspects have been discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Context Aware Computing for The Internet of Things: A Survey
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.042313.00197 · Cited by 2,861
A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis
Pantelopoulos, A., & Bourbakis, N. G. (2010) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2009.2032660 · Cited by 2,296
Atzori, L., Iera, A., Morabito, G., & Nitti, M. (2012) · Computer Networks · doi:10.1016/j.comnet.2012.07.010 · Cited by 1,238
An IoT-Aware Architecture for Smart Healthcare Systems
Catarinucci, L., de Donno, D., Mainetti, L., Palano, L., Patrono, L., Stefanizzi, M. L., & Tarricone, L. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2417684 · Cited by 1,167
Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2007.08.011 · Cited by 740
Drew, B. J., Califf, R. M., Funk, M., Kaufman, E. S., Krucoff, M. W., Laks, M. M., Macfarlane, P. W., Sommargren, C., Swiryn, S., & Van Hare, G. F. (2004) · Circulation · doi:10.1161/01.cir.0000145144.56673.59 · Cited by 609
Cited by
Bhuiyan, M. N., Rahman, M. M., Billah, M. M., & Saha, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3062630 · Cited by 490
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
Medical 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
The Internet of Things (IoT) in healthcare: Taking stock and moving forward
Rejeb, A., Rejeb, K., Treiblmaier, H., Appolloni, A., Alghamdi, S., Alhasawi, Y., & Iranmanesh, M. (2023) · Internet of Things · doi:10.1016/j.iot.2023.100721 · Cited by 448
5G-based smart healthcare network: architecture, taxonomy, challenges and future research directions
Ahad, A., Tahir, M., & Yau, K.-L. A. (2019) · IEEE Access · doi:10.1109/access.2019.2930628 · Cited by 352
Metadata
- Authors
- Dhanvijay, M. M., & Patil, S. C.
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 153
- Pages
- 113-131
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W2921008479
- Cited by
- 374
- References
- 6
- FWCI
- 16.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Internet of Things: A survey of enabling technologies in healthcare and its applications. https://app.cochat.ai/papers/10.1016/j.comnet.2019.03.006
- The paper
- Dhanvijay, M. M., & Patil, S. C. (2019). Internet of Things: A survey of enabling technologies in healthcare and its applications. Computer Networks. https://doi.org/10.1016/j.comnet.2019.03.006
Data sources
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.
