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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| Vydané v: | IEEE transactions on information theory Ročník 57; číslo 8; s. 5410 - 5435 |
|---|---|
| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York, NY
IEEE
01.08.2011
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0018-9448, 1557-9654 |
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| Abstract | 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. |
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| AbstractList | 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. 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. [PUBLICATION ABSTRACT] |
| Author | Nayyar, A. Teneketzis, D. |
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| Keywords | dynamic teams Information processing Sensor fusion Data fusion Sensor array Decentralized detection stopping problems Signal detection Message transmission Remote sensing |
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| SubjectTerms | 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) |
| Title | Sequential Problems in Decentralized Detection With Communication |
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