Optimal adaptive wireless body area networks for high speed in Health Services

Authors

Miftadi Sudjai, University of WollongongFollow
Le Chung Tran, University of WollongongFollow
Farzad Safaei, University of WollongongFollow
Son Lam Phung, University of WollongongFollow

RIS ID

91279

Publication Details

M. Sudjai, L. C. Tran, F. Safaei & S. L. Phung, "Optimal adaptive wireless body area networks for high speed in Health Services," Biomedizinische Technik, vol. 59, (s1) pp. 750-753, 2014.

Abstract

Adaptive ultra-wideband wireless body area networks have been proposed as one of feasible mHealth platforms offering a high-speed, robust mobile health service. The error performance of such sytems outperforms non-adaptive systems by up to 4 dB. To further improve the error performance, the optimization of adaptive parameters is investigated in this paper. Simulation results show that the proposed optimal adaptive systems achieves a 2 dB gain with respect to bit error rate (BER). This improvement is equivalent to extra reduction of the power consumption up to 37% in these networks, thus increasing the longevity and reliability of mHealth services.