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- W1996130613 abstract "In this paper, we study the non-myopic sensor selection problem for target tracking in wireless sensor networks based on quantized sensor data. Using the conditional posterior Cramér-Rao lower bound (C-PCRLB) as a sensor selection metric, we formulate and solve a non-myopic sensor selection problem using an approximate dynamic programming (A-DP) algorithm. Given a constraint on the total number of selected sensors allowed while observing the target over a time window, simulation results show that the proposed non-myopic sensor selection scheme based on A-DP is computationally very efficient and yields better tracking performance than the myopic sensor selection scheme." @default.
- W1996130613 created "2016-06-24" @default.
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- W1996130613 date "2012-03-01" @default.
- W1996130613 modified "2023-09-24" @default.
- W1996130613 title "An approximate dynamic programming based non-myopic sensor selection method for target tracking" @default.
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- W1996130613 doi "https://doi.org/10.1109/ciss.2012.6310849" @default.
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