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.