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Article citations


J. Hagedorn, J. Terrill, W. B. Yang, K. Sayrafian, K. Yazdandoost and R. Kohno, “A Statistical Path Loss Model for MICS,” Tokyo, 13-16 September 2009, pp. 2995-2999.

has been cited by the following article:

  • TITLE: Power-Aware Wireless Communication System Design for Body Area Networks

    AUTHORS: Lili Wang, Ni An, Ali Hassan Sodhro, Dengyu Qiao, Yu Zhou, Ye Li

    KEYWORDS: Power-Aware; Body Area Network; Path Loss Model; BCH; Convolutional Code; BER

    JOURNAL NAME: E-Health Telecommunication Systems and Networks, Vol.2 No.2, June 4, 2013

    ABSTRACT: With the explosive development of wireless communication and low power embedded techniques, Body Area Network (BAN) has opened up new frontiers in the race to provide real-time health monitoring. IEEE 802 has established a Task Group called IEEE 802.15.6 inNovember 2007 and aims to establish a communication standard optimized for low power, high reliability applied to medical and non-medical application for BANs. This paper overviews the path loss model and the communication scheme for implant-to-body surface channel presented by IEEE 802.15.6 standard. Comparing with the standard scheme where BCH (Bose-Chaudhuri-Hochquenghem) code is employing, we propose a new coding solution using convolutional code operating with Bit Interleaver based on the properties of implant-to-body surface channel. To analyze the performance of the two Error Correct Coding (ECC) schemes, we performed simulations in terms of Bit Error Rate (BER) and power consumption on MATLAB and FPGA platform, respectively. The simulation results proved that with appropriate constraint length, convolutional code has a better performance not only in BER, but also in minimization of resources and power consumption.