by M.A. Lexa, C.J. Rozell, S. Sinanović and D.H. Johnson
Abstract:
This paper is an initial investigation into the following question: Can cooperation among sensors in a sensor network improve detection performance in a simple hypothesis test? We analyze a simple cooperative system using the Kullback-Leibler (KL) discrimination distance and a quantity known as the information transfer ratio which is a ratio of KL distances. We discover that, asymptotically, gain over a non-cooperative system depends on the conditional KL distance. We conclude with an illustrative example which demonstrates that cooperation not only significantly improves performance but can also degrade it.
Reference:
To cooperate or not to cooperate: Detection strategies in sensor networksM.A. Lexa, C.J. Rozell, S. Sinanović and D.H. Johnson. pp. 841–844, May 2004.
Bibtex Entry:
@CONFERENCE{lexa.04,
author = {Lexa, M.A. and Rozell, C.J. and Sinanovi{\'c}, S. and Johnson, D.H.},
title = {To cooperate or not to cooperate: Detection strategies in sensor networks},
booktitle = {{Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)}},
year = {2004},
address = {Montreal, Canada},
month = {May},
pages = {841--844},
abstract = {This paper is an initial investigation into the following
question: Can cooperation among sensors in a sensor network improve
detection performance in a simple hypothesis test? We analyze a simple
cooperative system using the Kullback-Leibler (KL) discrimination distance
and a quantity known as the information transfer ratio which is a
ratio of KL distances. We discover that, asymptotically, gain over a
non-cooperative system depends on the conditional KL distance. We conclude
with an illustrative example which demonstrates that cooperation not
only significantly improves performance but can also degrade it.},
url = {http://siplab.gatech.edu/pubs/lexaICASSP2004.pdf},
}