Sensors: Theory, Algorithms, and Applications

Boginski, Vladimir L. L.; Commander, Clayton W. W.; Pardalos, Panos M. M.; Ye, Yinyu

Sensors: Theory, Algorithms, and Applications

Edited by Vladimir L. L. Boginski (), Clayton W. W. Commander (), Panos M. M. Pardalos () and Yinyu Ye ()

in Springer Optimization and Its Applications from Springer, currently edited by Pardalos, Panos, Thai, My T. and Du, Ding-Zhu

Date: 2012
ISBN: 978-0-387-88619-0
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Chapters in this book:

On Enhancing Fault Tolerance of Virtual Backbone in a Wireless Sensor Network with Unidirectional Links: Ravi Tiwari and My T. Thai
Constrained Node Placement and Assignment in Mobile Backbone Networks: Emily M. Craparo
Canonical Dual Solutions to Sum of Fourth-Order Polynomials Minimization Problems with Applications to Sensor Network Localization: David Yang Gao, Ning Ruan and Panos M. Pardalos
Optimal Estimation of Multidimensional Data with Limited Measurements: William MacKunis, J. Willard Curtis and Pia E. K. Berg-Yuen
Information Patterns in Discrete-Time Linear-Quadratic Dynamic Games: Meir Pachter and Khanh D. Pham
The Design of Dynamical Inquiring Systems: A Certainty Equivalent Formalization: Laura Giacomo and Giacomo Patrizi
Sensors in Transportation and Logistics Networks: Chrysafis Vogiatzis
Study of Mobile Mixed Sensing Networks in an Automotive Context: Animesh Chakravarthy, Kyungyeol Song, Jaime Peraire and Eric Feron
Navigation in Difficult Environments: Multi-Sensor Fusion Techniques: Andrey Soloviev and Mikel M. Miller
A Spectral Clustering Approach for Modeling Connectivity Patterns in Electroencephalogram Sensor Networks: Petros Xanthopoulos, Ashwin Arulselvan and Panos M. Pardalos

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DOI: 10.1007/978-0-387-88619-0

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