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Optimal Control of Energy Resources for State Estimation Over Wireless Channels

Produktform: E-Buch Text Elektronisches Buch in proprietärem

The brief shows how energy-harvesting-based rechargeable batteries or storage devices can offer significant advantages in the deployment of large-scale wireless sensor and actuator networks by avoiding the cost-prohibitive task of battery replacement and allowing self-sustaining sensor to be operation. In contrast with research on energy harvesting largely focused on resource allocation for wireless communication systems design, this brief optimizes estimation objectives such as minimizing the expected estimation error covariance. The resulting power control problems are often stochastic control problems which take into account both system and channel dynamics. The authors show how to pose and solve such design problems using dynamic programming techniques. weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-319-65614-4 / 978-3319656144 / 9783319656144

Verlag: Springer International Publishing

Erscheinungsdatum: 16.08.2017

Seiten: 125

Autor(en): Alex S. Leong, Daniel E. Quevedo, Subhrakanti Dey

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