Sensor fusion enhancement via optimized stochastic resonance at local sensors

Bin Liu; Satish Iyengar; Hao Chen; James H. Michels; Pramod K. Varshney

doi:10.1109/ICIF.2007.4408142

Sensor fusion enhancement via optimized stochastic resonance at local sensors

Bin Liu, Satish Iyengar, Hao Chen, James H. Michels, Pramod K. Varshney

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

3 Scopus citations

Abstract

This paper considers the decentralized fusion problem involving local sensor detection as well as the fusion of decisions transmitted over non-ideal transmission channels in a wireless sensor network. Prime emphasis is given to the enhancement of several fusion rules using a recently developed stochastic resonance methodology applied at the local sensors. Further, it is shown that the optimal form of the stochastic resonance probability mass density for the decentralized sensor fusion problem retains the same form as that previously developed for the single sensor case.

Original language	English (US)
Title of host publication	FUSION 2007 - 2007 10th International Conference on Information Fusion
DOIs	https://doi.org/10.1109/ICIF.2007.4408142
State	Published - 2007
Event	FUSION 2007 - 2007 10th International Conference on Information Fusion - Quebec, QC, Canada Duration: Jul 9 2007 → Jul 12 2007

Publication series

Name	FUSION 2007 - 2007 10th International Conference on Information Fusion

Other

Other	FUSION 2007 - 2007 10th International Conference on Information Fusion
Country/Territory	Canada
City	Quebec, QC
Period	7/9/07 → 7/12/07

Keywords

Decentralized detection
Rayleigh fading channels
Sensor fusion
Stochastic resonance

ASJC Scopus subject areas

Hardware and Architecture
Information Systems
Signal Processing
Software

Access to Document

10.1109/ICIF.2007.4408142

Cite this

Liu, B, Iyengar, S, Chen, H, Michels, JH & Varshney, PK 2007, Sensor fusion enhancement via optimized stochastic resonance at local sensors. in FUSION 2007 - 2007 10th International Conference on Information Fusion., 4408142, FUSION 2007 - 2007 10th International Conference on Information Fusion, FUSION 2007 - 2007 10th International Conference on Information Fusion, Quebec, QC, Canada, 7/9/07. https://doi.org/10.1109/ICIF.2007.4408142

@inproceedings{ccd82881638a4fa696ff95daa6403646,

title = "Sensor fusion enhancement via optimized stochastic resonance at local sensors",

abstract = "This paper considers the decentralized fusion problem involving local sensor detection as well as the fusion of decisions transmitted over non-ideal transmission channels in a wireless sensor network. Prime emphasis is given to the enhancement of several fusion rules using a recently developed stochastic resonance methodology applied at the local sensors. Further, it is shown that the optimal form of the stochastic resonance probability mass density for the decentralized sensor fusion problem retains the same form as that previously developed for the single sensor case.",

keywords = "Decentralized detection, Rayleigh fading channels, Sensor fusion, Stochastic resonance",

author = "Bin Liu and Satish Iyengar and Hao Chen and Michels, {James H.} and Varshney, {Pramod K.}",

year = "2007",

doi = "10.1109/ICIF.2007.4408142",

language = "English (US)",

isbn = "0662478304",

series = "FUSION 2007 - 2007 10th International Conference on Information Fusion",

booktitle = "FUSION 2007 - 2007 10th International Conference on Information Fusion",

note = "FUSION 2007 - 2007 10th International Conference on Information Fusion ; Conference date: 09-07-2007 Through 12-07-2007",

}

TY - GEN

T1 - Sensor fusion enhancement via optimized stochastic resonance at local sensors

AU - Liu, Bin

AU - Iyengar, Satish

AU - Chen, Hao

AU - Michels, James H.

AU - Varshney, Pramod K.

PY - 2007

Y1 - 2007

N2 - This paper considers the decentralized fusion problem involving local sensor detection as well as the fusion of decisions transmitted over non-ideal transmission channels in a wireless sensor network. Prime emphasis is given to the enhancement of several fusion rules using a recently developed stochastic resonance methodology applied at the local sensors. Further, it is shown that the optimal form of the stochastic resonance probability mass density for the decentralized sensor fusion problem retains the same form as that previously developed for the single sensor case.

AB - This paper considers the decentralized fusion problem involving local sensor detection as well as the fusion of decisions transmitted over non-ideal transmission channels in a wireless sensor network. Prime emphasis is given to the enhancement of several fusion rules using a recently developed stochastic resonance methodology applied at the local sensors. Further, it is shown that the optimal form of the stochastic resonance probability mass density for the decentralized sensor fusion problem retains the same form as that previously developed for the single sensor case.

KW - Decentralized detection

KW - Rayleigh fading channels

KW - Sensor fusion

KW - Stochastic resonance

UR - http://www.scopus.com/inward/record.url?scp=50149112218&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=50149112218&partnerID=8YFLogxK

U2 - 10.1109/ICIF.2007.4408142

DO - 10.1109/ICIF.2007.4408142

M3 - Conference contribution

AN - SCOPUS:50149112218

SN - 0662478304

SN - 9780662478300

T3 - FUSION 2007 - 2007 10th International Conference on Information Fusion

BT - FUSION 2007 - 2007 10th International Conference on Information Fusion

T2 - FUSION 2007 - 2007 10th International Conference on Information Fusion

Y2 - 9 July 2007 through 12 July 2007

ER -

Sensor fusion enhancement via optimized stochastic resonance at local sensors

Abstract

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Keywords

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