FEELS: fuzzy based energy efficient and low SAR routing protocol for wireless body area networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11276-022-03078-7.pdf
Reference28 articles.
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2. Patel, M., & Wang, J. (2010). Applications, challenges, and prospective in emerging body area networking technologies. IEEE Wireless Communications, 17(1), 80–88. https://doi.org/10.1109/MWC.2010.5416354
3. Liu, J., Sohn, J., & Kim, S. (2017). Classification of daily activities for the elderly using wearable sensors. Journal of Healthcare Engineering, 2017, 7. https://doi.org/10.1155/2017/8934816
4. Wu, T., Wu, F., Redouté, J. M., & Yuce, M. R. (2017). An autonomous wireless body area network implementation towards IoT connected healthcare applications. IEEE Access, 5, 11413–11422. https://doi.org/10.1109/ACCESS.2017.2716344
5. Park, C., Liu, J., & Chou, P. H. (2005). Eco: An ultra-compact low-power wireless sensor node for real-time motion monitoring. In IPSN 2005. Fourth international symposium on information processing in sensor networks, 2005. pp. 398–403, https://doi.org/10.1109/IPSN.2005.1440956.
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