Decentralized detection by a large number of sensors

DOI10.1007/BF02551407zbMath0657.93065OpenAlexW2102931639MaRDI QIDQ1111520

John N. Tsitsiklis

Publication date: 1988

Published in: MCSS. Mathematics of Control, Signals, and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02551407

zbMATH Keywords

codingsensorsmultiple hypothesis testingdecentralized detectionasymptotic error bounds

Mathematics Subject Classification ID

Hypothesis testing in multivariate analysis (62H15) Applications of mathematical programming (90C90) Estimation and detection in stochastic control theory (93E10) Coding theorems (Shannon theory) (94A24)

Related Items (6)

Classification error analysis in stereo vision ⋮ State based potential games ⋮ Optimal high-dimensional and nonparametric distributed testing under communication constraints ⋮ Information regularized sensor fusion: application to localization with distributed motion sensors ⋮ Optimal sensor rules and unified fusion rules for multisensor multi-hypothesis network decision systems with channel errors ⋮ Defending non-Bayesian learning against adversarial attacks

Cites Work

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• On the complexity of decentralized decision making and detection problems
• Lower bounds to error probability for coding on discrete memoryless channels. I
• On Information and Sufficiency

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