On Decentralized Detection with Partial Information Sharing among Sensors
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: | , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute of Electrical and Electronics Engineers
2011
|
| Online Access: | http://hdl.handle.net/1721.1/62559 https://orcid.org/0000-0003-2658-8239 |
| _version_ | 1811072629949333504 |
|---|---|
| author | Kreidl, Olivier Patrick Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias |
| 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 Kreidl, Olivier Patrick Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias |
| author_sort | Kreidl, Olivier Patrick |
| 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 | 2024-09-23T09:09:03Z |
| format | Article |
| id | mit-1721.1/62559 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:09:03Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/625592022-09-26T10:46:30Z On Decentralized Detection with Partial Information Sharing among Sensors Kreidl, Olivier Patrick Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Tsitsiklis, John N. Kreidl, Olivier Patrick Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias 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) 2011-04-28T20:00:25Z 2011-04-28T20:00:25Z 2011-04 Article http://purl.org/eprint/type/ConferencePaper 1053-587X http://hdl.handle.net/1721.1/62559 Kreidl, O.P., J.N. Tsitsiklis, and S.I. Zoumpoulis. “On Decentralized Detection With Partial Information Sharing Among Sensors.” Signal Processing, IEEE Transactions On 59.4 (2011) : 1759-1765. Copyright (c) 2010 IEEE https://orcid.org/0000-0003-2658-8239 en_US http://dx.doi.org/10.1109/TSP.2010.2099223 IEEE transactions on signal processing 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 MIT web domain |
| spellingShingle | Kreidl, Olivier Patrick Tsitsiklis, John N. Zoumpoulis, Spyridon Ilias On Decentralized Detection with Partial Information Sharing among Sensors |
| title | On Decentralized Detection with Partial Information Sharing among Sensors |
| title_full | On Decentralized Detection with Partial Information Sharing among Sensors |
| title_fullStr | On Decentralized Detection with Partial Information Sharing among Sensors |
| title_full_unstemmed | On Decentralized Detection with Partial Information Sharing among Sensors |
| title_short | On Decentralized Detection with Partial Information Sharing among Sensors |
| title_sort | on decentralized detection with partial information sharing among sensors |
| url | http://hdl.handle.net/1721.1/62559 https://orcid.org/0000-0003-2658-8239 |
| work_keys_str_mv | AT kreidlolivierpatrick ondecentralizeddetectionwithpartialinformationsharingamongsensors AT tsitsiklisjohnn ondecentralizeddetectionwithpartialinformationsharingamongsensors AT zoumpoulisspyridonilias ondecentralizeddetectionwithpartialinformationsharingamongsensors |