Ebook: Cognitive Networked Sensing and Big Data

Wireless Distributed Computing and Cognitive Sensing defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The author will discuss the integration of software defined radio implementation and testbed development. The book will also bridge new research results and contextual reviews. Also the author provides an examination of large cognitive radio network; hardware testbed; distributed sensing; and distributed computing.

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Cognitive Networked Sensing and Big Data defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The authors discuss the integration of software defined radio implementation and testbed development. The book also bridges new research results and contextual reviews. Additionally, the authors provide an examination of large cognitive radio network; hardware testbed; distributed sensing; and distributed computing.

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Cognitive Networked Sensing and Big Data defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The authors discuss the integration of software defined radio implementation and testbed development. The book also bridges new research results and contextual reviews. Additionally, the authors provide an examination of large cognitive radio network; hardware testbed; distributed sensing; and distributed computing.
Content:
Front Matter....Pages i-xxiii
Front Matter....Pages 1-1
Mathematical Foundation....Pages 3-83
Sums of Matrix-Valued Random Variables....Pages 85-144
Concentration of Measure....Pages 145-198
Concentration of Eigenvalues and Their Functionals....Pages 199-269
Non-asymptotic, Local Theory of Random Matrices....Pages 271-349
Asymptotic, Global Theory of Random Matrices....Pages 351-368
Front Matter....Pages 369-369
Compressed Sensing and Sparse Recovery....Pages 371-410
Matrix Completion and Low-Rank Matrix Recovery....Pages 411-456
Covariance Matrix Estimation in High Dimensions....Pages 457-486
Detection in High Dimensions....Pages 487-526
Probability Constrained Optimization....Pages 527-558
Database Friendly Data Processing....Pages 559-566
From Network to Big Data....Pages 567-576
Back Matter....Pages 577-614