Multi-sensor generalized sequential probability ratio test using level-triggered sampling

Shang Li; Xiaoou Li; Xiaodong Wang; Jingchen Liu

doi:10.1109/GlobalSIP.2015.7418218

Multi-sensor generalized sequential probability ratio test using level-triggered sampling

Shang Li, Xiaoou Li, Xiaodong Wang, Jingchen Liu

Statistics (Twin Cities)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

This paper investigates the generalized sequential probability ratio test (GSPRT) with multiple sensors. Focusing on the communication-constrained scenario, where sensors transmit one-bit messages to the fusion center, we propose a decentralized GSRPT based on level-triggered sampling scheme (LTS-GSPRT). The proposed LTS-GSPRT amounts to the algorithm where each sensor successively reports the decisions of local GSPRTs to the fusion center. Interestingly, with significantly lower communication overhead, LTS-GSPRT preserves the same asymptotic performance of the centralized GSPRT as the local thresholds and global thresholds grow large at different rates.

Original language	English (US)
Title of host publication	2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	363-367
Number of pages	5
ISBN (Electronic)	9781479975914
DOIs	https://doi.org/10.1109/GlobalSIP.2015.7418218
State	Published - 2015
Event	IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 - Orlando, United States Duration: Dec 13 2015 → Dec 16 2015

Other

Other	IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015
Country/Territory	United States
City	Orlando
Period	12/13/15 → 12/16/15

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access

10.1109/GlobalSIP.2015.7418218

OpenUrl availability

Full text

Cite this

Multi-sensor generalized sequential probability ratio test using level-triggered sampling. / Li, Shang; Li, Xiaoou; Wang, Xiaodong et al.
2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 363-367 7418218.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, S, Li, X, Wang, X & Liu, J 2015, Multi-sensor generalized sequential probability ratio test using level-triggered sampling. in 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015., 7418218, Institute of Electrical and Electronics Engineers Inc., pp. 363-367, IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015, Orlando, United States, 12/13/15. https://doi.org/10.1109/GlobalSIP.2015.7418218

@inproceedings{d24c0b554b1d4164a96f2d96fdacad8e,

title = "Multi-sensor generalized sequential probability ratio test using level-triggered sampling",

abstract = "This paper investigates the generalized sequential probability ratio test (GSPRT) with multiple sensors. Focusing on the communication-constrained scenario, where sensors transmit one-bit messages to the fusion center, we propose a decentralized GSRPT based on level-triggered sampling scheme (LTS-GSPRT). The proposed LTS-GSPRT amounts to the algorithm where each sensor successively reports the decisions of local GSPRTs to the fusion center. Interestingly, with significantly lower communication overhead, LTS-GSPRT preserves the same asymptotic performance of the centralized GSPRT as the local thresholds and global thresholds grow large at different rates.",

author = "Shang Li and Xiaoou Li and Xiaodong Wang and Jingchen Liu",

year = "2015",

doi = "10.1109/GlobalSIP.2015.7418218",

language = "English (US)",

pages = "363--367",

booktitle = "2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015",

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

address = "United States",

note = "IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 ; Conference date: 13-12-2015 Through 16-12-2015",

}

TY - GEN

T1 - Multi-sensor generalized sequential probability ratio test using level-triggered sampling

AU - Li, Shang

AU - Li, Xiaoou

AU - Wang, Xiaodong

AU - Liu, Jingchen

PY - 2015

Y1 - 2015

N2 - This paper investigates the generalized sequential probability ratio test (GSPRT) with multiple sensors. Focusing on the communication-constrained scenario, where sensors transmit one-bit messages to the fusion center, we propose a decentralized GSRPT based on level-triggered sampling scheme (LTS-GSPRT). The proposed LTS-GSPRT amounts to the algorithm where each sensor successively reports the decisions of local GSPRTs to the fusion center. Interestingly, with significantly lower communication overhead, LTS-GSPRT preserves the same asymptotic performance of the centralized GSPRT as the local thresholds and global thresholds grow large at different rates.

AB - This paper investigates the generalized sequential probability ratio test (GSPRT) with multiple sensors. Focusing on the communication-constrained scenario, where sensors transmit one-bit messages to the fusion center, we propose a decentralized GSRPT based on level-triggered sampling scheme (LTS-GSPRT). The proposed LTS-GSPRT amounts to the algorithm where each sensor successively reports the decisions of local GSPRTs to the fusion center. Interestingly, with significantly lower communication overhead, LTS-GSPRT preserves the same asymptotic performance of the centralized GSPRT as the local thresholds and global thresholds grow large at different rates.

UR - http://www.scopus.com/inward/record.url?scp=84964721038&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84964721038&partnerID=8YFLogxK

U2 - 10.1109/GlobalSIP.2015.7418218

DO - 10.1109/GlobalSIP.2015.7418218

M3 - Conference contribution

SP - 363

EP - 367

BT - 2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015

Y2 - 13 December 2015 through 16 December 2015

ER -

Multi-sensor generalized sequential probability ratio test using level-triggered sampling

Abstract

Other

UN SDGs

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this