Distributed Bayesian Hypothesis Testing with Distributed Data Fusion

Zeineddine Chair; Pramod K. Varshney

doi:10.1109/21.21597

Distributed Bayesian Hypothesis Testing with Distributed Data Fusion

Zeineddine Chair, Pramod K. Varshney

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

75 Scopus citations

Abstract

The paper considers the problem of distributed Bayesian hypothesis testing with distributed data fusion. In the distributed data fusion configuration, some signal processing is done locally at the sensors and the partial results are transmitted to the other sensors for further processing and fusion. Global results are obtained at each of the sensors. This system configuration is attractive for many applications from the survivability point of view. The problem is formulated; and optimum decision rules and fusion schemes are obtained that minimize the Bayesian risk at each sensor. An example is presented for illustration.

Original language	English (US)
Pages (from-to)	695-699
Number of pages	5
Journal	IEEE Transactions on Systems, Man and Cybernetics
Volume	18
Issue number	5
DOIs	https://doi.org/10.1109/21.21597
State	Published - 1988

ASJC Scopus subject areas

General Engineering

Access to Document

10.1109/21.21597

Cite this

@article{4b06aa8c3ae042e78e64d02ea335f53c,

title = "Distributed Bayesian Hypothesis Testing with Distributed Data Fusion",

abstract = "The paper considers the problem of distributed Bayesian hypothesis testing with distributed data fusion. In the distributed data fusion configuration, some signal processing is done locally at the sensors and the partial results are transmitted to the other sensors for further processing and fusion. Global results are obtained at each of the sensors. This system configuration is attractive for many applications from the survivability point of view. The problem is formulated; and optimum decision rules and fusion schemes are obtained that minimize the Bayesian risk at each sensor. An example is presented for illustration.",

author = "Zeineddine Chair and Varshney, {Pramod K.}",

note = "Funding Information: Manuscript received August 10, 1987; revised March 18, 1988. This work supported by RADC Contract F30602-81C-0169. Dr. Chair was with the Electrical and Computer Engineering Department, Syracuse University, Syracuse, NY 13244-1240. He is now with AT&T Bell Laboratories, Holmdel, NJ 07733. Dr. Varshney is with the Electrical and Computer Engineering Department. Syracuse University, Syracuse, NY 13244-1240. IEEE Log Number 8821440.",

year = "1988",

doi = "10.1109/21.21597",

language = "English (US)",

volume = "18",

pages = "695--699",

journal = "IEEE Transactions on Systems, Man and Cybernetics",

issn = "0018-9472",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "5",

}

TY - JOUR

T1 - Distributed Bayesian Hypothesis Testing with Distributed Data Fusion

AU - Chair, Zeineddine

AU - Varshney, Pramod K.

N1 - Funding Information: Manuscript received August 10, 1987; revised March 18, 1988. This work supported by RADC Contract F30602-81C-0169. Dr. Chair was with the Electrical and Computer Engineering Department, Syracuse University, Syracuse, NY 13244-1240. He is now with AT&T Bell Laboratories, Holmdel, NJ 07733. Dr. Varshney is with the Electrical and Computer Engineering Department. Syracuse University, Syracuse, NY 13244-1240. IEEE Log Number 8821440.

PY - 1988

Y1 - 1988

N2 - The paper considers the problem of distributed Bayesian hypothesis testing with distributed data fusion. In the distributed data fusion configuration, some signal processing is done locally at the sensors and the partial results are transmitted to the other sensors for further processing and fusion. Global results are obtained at each of the sensors. This system configuration is attractive for many applications from the survivability point of view. The problem is formulated; and optimum decision rules and fusion schemes are obtained that minimize the Bayesian risk at each sensor. An example is presented for illustration.

AB - The paper considers the problem of distributed Bayesian hypothesis testing with distributed data fusion. In the distributed data fusion configuration, some signal processing is done locally at the sensors and the partial results are transmitted to the other sensors for further processing and fusion. Global results are obtained at each of the sensors. This system configuration is attractive for many applications from the survivability point of view. The problem is formulated; and optimum decision rules and fusion schemes are obtained that minimize the Bayesian risk at each sensor. An example is presented for illustration.

UR - http://www.scopus.com/inward/record.url?scp=0024078606&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0024078606&partnerID=8YFLogxK

U2 - 10.1109/21.21597

DO - 10.1109/21.21597

M3 - Article

AN - SCOPUS:0024078606

SN - 0018-9472

VL - 18

SP - 695

EP - 699

JO - IEEE Transactions on Systems, Man and Cybernetics

JF - IEEE Transactions on Systems, Man and Cybernetics

IS - 5

ER -

Distributed Bayesian Hypothesis Testing with Distributed Data Fusion

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this