Information-theoretic approaches for sensor selection and placement in sensor networks for target localization and tracking

In this paper, we describes the information-theoretic approaches to sensor selection and sensor placement in sensor networks for target localization and tracking. We have developed a sensor selection heuristic to activate the most informative candidate sensor for collaborative target localization an...

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Veröffentlicht in:	Journal of communications and networks 2005-12, Vol.7 (4), p.438-449
Hauptverfasser:	Wang, Hanbiao, Yao, Kung, Estrin, Deborah
Format:	Artikel
Sprache:	eng
Schlagworte:	Bayesian methods Entropy Estimation error Information theory Measurement uncertainty Mutual information Random variables sensor networks sensor placement sensor selection target localization and tracking Target tracking
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