TY - GEN
T1 - Distributed detection with censoring sensors under dependent observations
AU - He, Hao
AU - Varshney, Pramod K.
PY - 2014
Y1 - 2014
N2 - Distributed detection in censoring sensor networks, where each sensor transmits 'informative' observations to the Fusion Center (FC), and censors those deemed 'uninformative', has been investigated by many researchers, but under the assumption of conditionally independent observations. In this paper, we consider a more realistic situation in a censoring sensor network where observations may not be independent. We derive optimal fusion rules at the FC under both Neyman-Perason (NP) and Bayesian frameworks, assuming that each sensor sends complete observations to the FC only when its observation falls out of a certain no-send region. Simulation results are provided to demonstrate the superior performance of our fusion rule compared with several other fusion rules derived in earlier work.
AB - Distributed detection in censoring sensor networks, where each sensor transmits 'informative' observations to the Fusion Center (FC), and censors those deemed 'uninformative', has been investigated by many researchers, but under the assumption of conditionally independent observations. In this paper, we consider a more realistic situation in a censoring sensor network where observations may not be independent. We derive optimal fusion rules at the FC under both Neyman-Perason (NP) and Bayesian frameworks, assuming that each sensor sends complete observations to the FC only when its observation falls out of a certain no-send region. Simulation results are provided to demonstrate the superior performance of our fusion rule compared with several other fusion rules derived in earlier work.
KW - Censoring
KW - Dependent observations
KW - Distributed detection
UR - http://www.scopus.com/inward/record.url?scp=84905270174&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905270174&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6854565
DO - 10.1109/ICASSP.2014.6854565
M3 - Conference contribution
AN - SCOPUS:84905270174
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5055
EP - 5059
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -