Error exponents for decentralized detection in feedback architectures
We consider the decentralized Bayesian binary hypothesis testing problem in feedback architectures, in which the fusion center broadcasts information based on the messages of some sensors to some or all sensors in the network. We show that the asymptotically optimal detection performance (as quantif...
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Institute of Electrical and Electronics Engineers (IEEE)
2013
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Online Access: | http://hdl.handle.net/1721.1/79644 https://orcid.org/0000-0003-2658-8239 |
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author | Tay, Wee Peng Tsitsiklis, John N. |
author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Tay, Wee Peng Tsitsiklis, John N. |
author_sort | Tay, Wee Peng |
collection | MIT |
description | We consider the decentralized Bayesian binary hypothesis testing problem in feedback architectures, in which the fusion center broadcasts information based on the messages of some sensors to some or all sensors in the network. We show that the asymptotically optimal detection performance (as quantified by error exponents) does not benefit from the feedback messages. In addition, we determine the corresponding optimal error exponents. |
first_indexed | 2024-09-23T11:29:47Z |
format | Article |
id | mit-1721.1/79644 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T11:29:47Z |
publishDate | 2013 |
publisher | Institute of Electrical and Electronics Engineers (IEEE) |
record_format | dspace |
spelling | mit-1721.1/796442022-10-01T03:59:58Z Error exponents for decentralized detection in feedback architectures Tay, Wee Peng Tsitsiklis, John N. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Tsitsiklis, John N. We consider the decentralized Bayesian binary hypothesis testing problem in feedback architectures, in which the fusion center broadcasts information based on the messages of some sensors to some or all sensors in the network. We show that the asymptotically optimal detection performance (as quantified by error exponents) does not benefit from the feedback messages. In addition, we determine the corresponding optimal error exponents. National Science Foundation (U.S.) (Grant ECCS-0701623) 2013-07-22T15:45:14Z 2013-07-22T15:45:14Z 2011-05 Article http://purl.org/eprint/type/ConferencePaper 978-1-4577-0538-0 978-1-4577-0537-3 1520-6149 http://hdl.handle.net/1721.1/79644 Tay, Wee Peng, and John N. Tsitsiklis. Error Exponents for Decentralized Detection in Feedback Architectures. In 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2496-2499. Institute of Electrical and Electronics Engineers, 2011. https://orcid.org/0000-0003-2658-8239 en_US http://dx.doi.org/10.1109/ICASSP.2011.5946991 Proceedings of the 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Tsitsiklis via Amy Stout |
spellingShingle | Tay, Wee Peng Tsitsiklis, John N. Error exponents for decentralized detection in feedback architectures |
title | Error exponents for decentralized detection in feedback architectures |
title_full | Error exponents for decentralized detection in feedback architectures |
title_fullStr | Error exponents for decentralized detection in feedback architectures |
title_full_unstemmed | Error exponents for decentralized detection in feedback architectures |
title_short | Error exponents for decentralized detection in feedback architectures |
title_sort | error exponents for decentralized detection in feedback architectures |
url | http://hdl.handle.net/1721.1/79644 https://orcid.org/0000-0003-2658-8239 |
work_keys_str_mv | AT tayweepeng errorexponentsfordecentralizeddetectioninfeedbackarchitectures AT tsitsiklisjohnn errorexponentsfordecentralizeddetectioninfeedbackarchitectures |