TY - GEN
T1 - Semi-Markov modeling for body area networks
AU - Chaganti, Vasanta G.
AU - Hanlen, Leif W.
AU - Lamahewa, Tharaka A.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80052173224&partnerID=8YFLogxK
U2 - 10.1109/icc.2011.5963414
DO - 10.1109/icc.2011.5963414
M3 - Conference contribution
SN - 9781612842332
T3 - IEEE International Conference on Communications
BT - 2011 IEEE International Conference on Communications, ICC 2011
T2 - 2011 IEEE International Conference on Communications, ICC 2011
Y2 - 5 June 2011 through 9 June 2011
ER -