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Bayesian Detection in Bounded Height Tree Networks
Snowbird, Utah March 27-March 29
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2007.162007 Data Compression Conference (DCC ...
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Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win, "Bayesian Detection in Bounded Height Tree Networks," Data Compression Conference, pp. 243-252, 2007 Data Compression Conference (DCC'07), 2007.
 
 
BibTex
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@article{ 10.1109/DCC.2007.16,
author = {Wee-Peng Tay and John N. Tsitsiklis and Moe Z. Win},
title = {Bayesian Detection in Bounded Height Tree Networks},
journal ={Data Compression Conference},
volume = {0},
year = {2007},
issn = {1068-0314},
pages = {243-252},
doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2007.16},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Data Compression Conference
TI - Bayesian Detection in Bounded Height Tree Networks
SN - 1068-0314
SP243
EP252
A1 - Wee-Peng Tay,
A1 - John N. Tsitsiklis,
A1 - Moe Z. Win,
PY - 2007
KW - null
VL - 0
JA - Data Compression Conference
ER -
 
Wee-Peng Tay, MIT, Cambridge, MA, USA
John N. Tsitsiklis, MIT, Cambridge, MA, USA
Moe Z. Win, MIT, Cambridge, MA, USA
We study the asymptotic detection performance of large sensor networks, configured as trees with bounded height, in which information is progressively compressed as it moves towards the root of the tree. We show that the error probability decays exponentially fast, and we provide bounds for the error exponent. We analyze further the case where the tree has certain symmetry properties, and derive simple, easily implementable, suboptimal strategies.
Citation:
Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win, "Bayesian Detection in Bounded Height Tree Networks," dcc, pp.243-252, 2007 Data Compression Conference (DCC'07), 2007
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