Decentralized detection in sensor network architectures with feedback
We study a decentralized detection architecture in which each of a set of sensors transmits a highly compressed summary of its observations (a binary message) to a fusion center, which then decides on one of two alternative hypotheses. In contrast to the star (or “parallel”) architecture considered...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2012
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| Online Access: | http://hdl.handle.net/1721.1/71638 https://orcid.org/0000-0003-2658-8239 |
| _version_ | 1811090138503053312 |
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| author | Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias Kreidl, Olivier Patrick |
| 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 Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias Kreidl, Olivier Patrick |
| author_sort | Tsitsiklis, John N. |
| collection | MIT |
| description | We study a decentralized detection architecture in which each of a set of sensors transmits a highly compressed summary of its observations (a binary message) to a fusion center, which then decides on one of two alternative hypotheses. In contrast to the star (or “parallel”) architecture considered in most of the literature, we allow a subset of the sensors to both transmit their messages to the fusion center and to also broadcast them to the remaining sensors. We focus on the following architectural question: is there a significant performance improvement when we allow such a message broadcast? We consider the error exponent (asymptotically, in the limit of a large number of sensors) for the Neyman-Pearson formulation of the detection problem. We prove that the sharing of messages does not improve the optimal error exponent. |
| first_indexed | 2024-09-23T14:33:56Z |
| format | Article |
| id | mit-1721.1/71638 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:33:56Z |
| publishDate | 2012 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/716382022-09-29T09:51:54Z Decentralized detection in sensor network architectures with feedback Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias Kreidl, Olivier Patrick Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Tsitsiklis, John N. Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias Kreidl, Olivier Patrick We study a decentralized detection architecture in which each of a set of sensors transmits a highly compressed summary of its observations (a binary message) to a fusion center, which then decides on one of two alternative hypotheses. In contrast to the star (or “parallel”) architecture considered in most of the literature, we allow a subset of the sensors to both transmit their messages to the fusion center and to also broadcast them to the remaining sensors. We focus on the following architectural question: is there a significant performance improvement when we allow such a message broadcast? We consider the error exponent (asymptotically, in the limit of a large number of sensors) for the Neyman-Pearson formulation of the detection problem. We prove that the sharing of messages does not improve the optimal error exponent. National Science Foundation (U.S.) (grant ECCS-0701623) 2012-07-16T20:33:01Z 2012-07-16T20:33:01Z 2011-02 2010-09 Article http://purl.org/eprint/type/ConferencePaper 978-1-4244-8215-3 http://hdl.handle.net/1721.1/71638 Kreidl, O.P.; Tsitsiklis, J.N.; Zoumpoulis, S.I.; , "Decentralized detection in sensor network architectures with feedback," Communication, Control, and Computing (Allerton), 2010 48th Annual Allerton Conference on , vol., no., pp.1605-1609, Sept. 29 2010-Oct. 1 2010 https://orcid.org/0000-0003-2658-8239 en_US http://dx.doi.org/10.1109/ALLERTON.2010.5707105 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010 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 | Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias Kreidl, Olivier Patrick Decentralized detection in sensor network architectures with feedback |
| title | Decentralized detection in sensor network architectures with feedback |
| title_full | Decentralized detection in sensor network architectures with feedback |
| title_fullStr | Decentralized detection in sensor network architectures with feedback |
| title_full_unstemmed | Decentralized detection in sensor network architectures with feedback |
| title_short | Decentralized detection in sensor network architectures with feedback |
| title_sort | decentralized detection in sensor network architectures with feedback |
| url | http://hdl.handle.net/1721.1/71638 https://orcid.org/0000-0003-2658-8239 |
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