The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications
Open accessAbstract
This paper presents a hybrid wearable sensor network system towards the Internet of Things (IoT) connected safety and health monitoring applications. The system is aimed at improving safety in the outdoor workplace. The proposed system consists of a wearable body area network (WBAN) to collect user data and a low-power wide-area network (LPWAN) to connect the WBAN with the Internet. The wearable sensors in the WBAN are exerted to measure the environmental conditions around the subject using a Safe Node and monitor the vital signs of the subject using a Health Node. A standalone local server (gateway), which can process the raw sensor signals, display the environmental and physiological data, and trigger an alert if any emergency circumstance is detected, is designed within the proposed network. To connect the gateway with the Internet, an IoT cloud server is implemented to provide more functionalities, such as web monitoring and mobile applications.
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Cites
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
A comparative study of LPWAN technologies for large-scale IoT deployment
Mekki, K., Bajic, E., Chaxel, F., & Meyer, F. (2019) · ICT Express · doi:10.1016/j.icte.2017.12.005 · Cited by 1,547
Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios
Centenaro, M., Vangelista, L., Zanella, A., & Zorzi, M. (2016) · IEEE Wireless Communications · doi:10.1109/mwc.2016.7721743 · Cited by 1,278
Rahmani, A. M., Gia, T. N., Negash, B., Anzanpour, A., Azimi, I., Jiang, M., & Liljeberg, P. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.02.014 · Cited by 1,198 · cited 1×
“An IoT gateway at the edge of the network generally acts as a bridge device between the local sensor network and the cloud services [26–28].”
BackgroundA survey on Internet of Things architectures
Ray, P. P. (2018) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2016.10.003 · Cited by 1,173
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
A survey on LPWA technology: LoRa and NB-IoT
Sinha, R. S., Wei, Y., & Hwang, S.-H. (2017) · ICT Express · doi:10.1016/j.icte.2017.03.004 · Cited by 1,020 · cited 2×
“Although the device cost is low, the spectrum and deployment cost for NB-IoT are relatively high with >$500 million/MHz and $15,000/base station [18].”
BackgroundSystem architecture of a wireless body area sensor network for ubiquitous health monitoring
Otto, C., Milenković, A., Sanders, C., & Jovanov, E. (2005) · Journal of Multimedia · doi:10.5555/2010498.2010502 · Cited by 729
BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network
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Cited by
A review on extreme learning machine
Wang, J., Lu, S., Wang, S.-H., & Zhang, Y.-D. (2022) · Multimedia Tools and Applications · doi:10.1007/s11042-021-11007-7 · Cited by 572
An IoT-based framework for early identification and monitoring of COVID-19 cases
Otoom, M., Otoum, N., Alzubaidi, M. A., Etoom, Y., & Banihani, R. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102149 · Cited by 292
Intelligent Cooperative Edge Computing in Internet of Things
Gong, C., Lin, F., Gong, X., & Lu, Y. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2986015 · Cited by 158
An efficient lightweight cryptographic algorithm for IoT security
Abdulraheem, M., Awotunde, J. B., Jimoh, R. G., & Oladipo, I. D. (2021) · Communications in Computer and Information Science · doi:10.1007/978-3-030-69143-1_34 · Cited by 32
Metadata
- Authors
- Wu, F., Wu, T., & Yuce, M. R.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2018-12-21
- Volume
- 19
- Issue
- 1
- Pages
- 21
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2906096166
- Cited by
- 282
- References
- 39
- FWCI
- 13.21
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
