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Mathematics / Wireless sensor network / Kalman filter / Robot control / Subgradient method / Sensor node / Entropy / Sensor / Lagrange multiplier / Technology / Graph theory / Mathematical optimization


An Approximate Dynamic Programming Approach to a Communication Constrained Sensor Management Problem ∗ Laboratory Jason L. Williams,∗ John W. Fisher III† and Alan S. Willsky∗
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Document Date: 2012-02-01 13:45:48


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City

Belmont / Norwood / London / New York / Arlington / /

Company

As / John Wiley and Sons / I. I NTRODUCTION Networks / MIT Lincoln Laboratory / EURASIP Journal / Artificial Intelligence Laboratory / /

Country

United Kingdom / /

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Facility

Laboratory Jason L. Williams / ∗ John W. Fisher III† / Artificial Intelligence Laboratory Massachusetts Institute of Technology / /

IndustryTerm

sensor management algorithm / energy costs / gradient search / tractable solution / distributed sensor network / n-scan pruning algorithm / sensor networks energy / multitarget tracking algorithms / computable approximate solution / energy consumption / sensor networks / sensor management / communication energy subject / energy cost / shortest path algorithm / in-network processing / large networks / wireless sensor network / distributed sensor networks / ad hoc heterogeneous sensor networks / communication energy / sensor network / energy / /

Organization

DP CC / e.g. / Massachusetts Institute of Technology / /

Person

Alan S. Willsky / Jason L. Williams / Min Expect Dist / John W. Fisher III / /

Position

Open Loop Feedback Controller / linear measurement model / z Sk k |z / fisher / manager in a sensor network tracking problem / controller / sensor manager / /

PublishedMedium

Communications of the ACM / /

Technology

n-Scan pruning The algorithm / resulting algorithm / multitarget tracking algorithms / sensor management algorithm / shortest path algorithm / n-scan pruning algorithm / Simulation / PDF / SIS algorithm / be calculated using any shortest path algorithm / /

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