Power Scheduling for Wireless Sensor and Actuator Networks (bibtex)
by and
Abstract:
We previously presented a model for some wireless sensor and actuator network (WSAN) applications based on the vector space tools of frame theory. In this WSAN model there is a weight associated to each sensor-actuator link denoting the importance of that communication link to the actuation fidelity. These weights were shown to be useful in pruning away communication links to reduce the number of active channels. Inspired by recent work in power scheduling for decentralized estimation, we investigate the optimal allocation of system resources for achieving a desired actuation fidelity. In this scheme, each sensor acquires a noisy observation and sends a message to a subset of actuators using an MQAM transmission strategy. The message sent on each sensor-actuator communication link is quantized with a variable number of bits, with the number of bits optimized to minimize the total network power consumption subject to a constraint on the actuation distortion. We show analytically and verify through simulation that performing this optimal power scheduling can yield significant power savings over communication strategies that use a fixed number of bits on each communication link.
Reference:
Power Scheduling for Wireless Sensor and Actuator NetworksC.J. Rozell and D.H. Johnson. In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), pp. 470–478, April 2007. (Acceptance rate 22%)
Bibtex Entry:
@InProceedings{rozell.06b,
  author = 	 {Rozell, C.J. and Johnson, D.H.},
  title = 	 {Power Scheduling for Wireless Sensor and Actuator Networks},
  booktitle =	 {Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN) },
  year =	 2007,
  address =	 {Cambridge, MA},
  month =	 {April},
  pages = {470--478},
  abstract = {We previously presented a model for some wireless sensor and actuator
network (WSAN) applications based on the vector space tools of frame
theory.  In this WSAN model there is a weight associated to each
sensor-actuator link denoting the importance of that communication
link to the actuation fidelity. These weights were shown to be useful
in pruning away communication links to reduce the number of active
channels.  Inspired by recent work in power scheduling for
decentralized estimation, we investigate the optimal allocation of
system resources for achieving a desired actuation fidelity.  In this
scheme, each sensor acquires a noisy observation and sends a message
to a subset of actuators using an MQAM transmission strategy.  The
message sent on each sensor-actuator communication link is quantized
with a variable number of bits, with the number of bits optimized to
minimize the total network power consumption subject to a constraint
on the actuation distortion.  We show analytically and verify through
simulation that performing this optimal power scheduling can yield
significant power savings over communication strategies that use a
fixed number of bits on each communication link.},
  url = {http://siplab.gatech.edu/pubs/rozellIPSN2007.pdf}, 
note = {(Acceptance rate 22\%)}
}
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