Sequential Problems in Decentralized Detection With Communication

Sequential problems in decentralized detection are considered. Peripheral sensors make repeated noisy observations of a binary hypothesis. At each time, a peripheral sensor has to decide whether to stop and send a final binary message to a coordinating sensor/fusion center or to continue taking cost...

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Vydáno v:	IEEE transactions on information theory Ročník 57; číslo 8; s. 5410 - 5435
Hlavní autoři:	Nayyar, A., Teneketzis, D.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.08.2011 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Applied sciences Communication Decentralized Decentralized detection Detection, estimation, filtering, equalization, prediction dynamic teams Exact sciences and technology Indexes Information theory Information, signal and communications theory Measurement Messages Methodology Noise measurement Observers Optimization Plugs Policies Sensor fusion Sensor phenomena and characterization Sensors Services and terminals of telecommunications Signal and communications theory Signal, noise stopping problems Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Telemetry. Remote supervision. Telewarning. Remote control Time measurement Transmission and modulation (techniques and equipments) dynamic teams Information processing Sensor fusion Data fusion Sensor array Decentralized detection stopping problems Signal detection Message transmission Remote sensing
ISSN:	0018-9448, 1557-9654
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Popis
Shrnutí:	Sequential problems in decentralized detection are considered. Peripheral sensors make repeated noisy observations of a binary hypothesis. At each time, a peripheral sensor has to decide whether to stop and send a final binary message to a coordinating sensor/fusion center or to continue taking costly measurements. The coordinating sensor's operation is explored under two different scenarios. In the first scenario, the coordinating sensor waits to receive the final message from each of the peripheral sensors and then starts taking costly measurements of its own. The coordinating sensor is then faced with a stopping problem on whether to stop and declare a decision on the hypothesis or to continue taking measurements. In the second scenario, the coordinating sensor starts taking measurements from the beginning, without waiting for the final messages from the peripheral sensors. At any time, the coordinating sensor has to decide whether to stop and declare a decision on the hypothesis or to continue to take more measurements and wait for the peripheral sensors to send their final message. Parametric characterization of optimal policies for the peripheral and the coordinating sensors are obtained under both scenarios. A sequential methodology for finding the optimal policies is presented.
Bibliografie:	SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23
ISSN:	0018-9448 1557-9654
DOI:	10.1109/TIT.2011.2158478