Semi-Markov Modelling for Body Area Networks

Vasanta Chaganti (NICTA)

APPLIED SIGNAL PROCESSING SERIES

DATE: 2011-06-16
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
Signal variation in Body Area Networks (BANs) is dominated by slow, macroscopic fading. The quantized (state) channel has long and variable state-holding times. We motivate the use of a semi-Markov approach to model the quantized channel gain and show that for everyday activities and on-body (real-world) measurements this approach leads to tractable limits for state holding times and transition probability. We show that while activity does influence the parameters of the semi-Markov model, the impact is not strong.
BIO:
Vasanta G. Chaganti has studied Bachelor of Engineering (Hons) at the Australian National University (ANU), Canberra in 2009 and is currently in her second year of PhD in Channel Characterization for Body Area Networks as part of the NICTA-enhanced PhD program in the ANU.