Genetic algorithm based sensor node classifications in wireless body area networks (WBAN)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Software
Link
http://link.springer.com/content/pdf/10.1007/s10586-018-1770-6.pdf
Reference25 articles.
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3. Walsh, M.J., Hayes, M.J.: Throughput rate control for an 802.15.4 wireless body area network using static and low order anti-windup techniques. In: Proc. Mediterranean Conf. Control Autom, pp. 1–6 (2007)
4. Ren, Z., Qi, X., Zhou, G., Wang, H.: Exploiting the data sensitivity of neurometric fidelity for optimizing EEG sensing. IEEE J. Internet Things 1(3), 243–254 (2014)
5. Yi, C., Wang, L., Li, Y.: Energy efficient transmission approach for WBAN based on threshold distance. IEEE Sensors J. 15(9), 5133–5141 (2015)
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