The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Wireless Body Area Networks: A Survey
Abstract
Recent developments and technological advancements in wireless communication, MicroElectroMechanical Systems (MEMS) technology and integrated circuits has enabled low-power, intelligent, miniaturized, invasive/non-invasive micro and nano-technology sensor nodes strategically placed in or around the human body to be used in various applications, such as personal health monitoring. This exciting new area of research is called Wireless Body Area Networks (WBANs) and leverages the emerging IEEE 802.15.6 and IEEE 802.15.4j standards, specifically standardized for medical WBANs. The aim of WBANs is to simplify and improve speed, accuracy, and reliability of communication of sensors/actuators within, on, and in the immediate proximity of a human body. The vast scope of challenges associated with WBANs has led to numerous publications. In this paper, we survey the current state-of-art of WBANs based on the latest standards and publications. Open issues and challenges within each area are also explored as a source of inspiration towards future developments in WBANs.
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Cites
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Self-citationA survey on wireless body area networks
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A Comprehensive Survey of Wireless Body Area Networks: On PHY, MAC, and Network Layers Solutions
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Cited by
Yetisen, A. K., Martinez‐Hurtado, J. L., Ünal, B., Khademhosseini, A., & Butt, H. (2018) · Advanced Materials · doi:10.1002/adma.201706910 · Cited by 569
Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks
Wang, J., Jiang, C., Zhang, H., Ren, Y., Chen, K.-C., & Hanzo, L. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2965856 · Cited by 486
Ghaleb, B., Al-Dubai, A. Y., Ekonomou, E., Alsarhan, A., Nasser, Y., Mackenzie, L. M., & Boukerche, A. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2874356 · Cited by 333
Phatak, A. A., Wieland, F.-G., Vempala, K., Volkmar, F., & Memmert, D. (2021) · Sports Medicine - Open · doi:10.1186/s40798-021-00372-0 · Cited by 74
A simple method for detection and classification of ECG noises for wearable ECG monitoring devices
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Metadata
- Authors
- Movassaghi, S., Abolhasan, M., Lipman, J., Smith, D., & Jamalipour, A.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2014
- Volume
- 16
- Issue
- 3
- Pages
- 1658-1686
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2112320278
- Cited by
- 1,538
- References
- 59
- FWCI
- 78.63
- Type
- journal article
- Language
- en
- Open access
- closed
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- Movassaghi, S., Abolhasan, M., Lipman, J., Smith, D., & Jamalipour, A. (2014). Wireless Body Area Networks: A Survey. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2013.121313.00064
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