Transmission Power Control Using Human Motion Classification for Reliable and Energy-Efficient Communication in WBAN
Author:
Affiliation:
1. Department of Human System Science, Tokyo Institute of Technology
2. Department of Electrical and Electronic Engineering, Tokyo Institute of Technology
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Software
Link
https://www.jstage.jst.go.jp/article/transcom/E102.B/6/E102.B_2018HMP0010/_pdf
Reference28 articles.
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2. [2] R. D'Errico and L. Ouvry, “A statistical model for on-body dynamic channels,” Int. J. wireless Inf. Networks, vol.17, no.3-4, pp.92-104, 2010. 10.1007/s10776-010-0122-0
3. [3] T. Aoyagi, K. Minseok, J. Takada, K. Hamaguchi, and R. Kohno, “Numerical simulations for wearable BAN propagation channel during various human movements,” IEICE Trans. Commun., vol.E94-B, no.9, pp.2496-2500, Sept. 2011. 10.1587/transcom.e94.b.2496
4. [4] L. Liu, R. D'Errico, L. Ouvry, P. De Doncker, C. Oestges, et al., “Dynamic channel modeling at 2.4GHz for on-body area networks,” Advances in Electronics and Telecommunications, vol.2, no.4, pp.19-27, 2011.
5. [5] R. Fu, Y. Ye, and K. Pahlavan, “Characteristic and modeling of human body motions for body area network applications,” Int. J. Wireless Inf. Networks, vol.19, no.3, pp.219-228, 2012. 10.1007/s10776-012-0176-2
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