Cognitive Networked Sensing and Big Data 2014th Edition

Cognitive Networked Sensing and Big Data 2014th Edition book cover

Cognitive Networked Sensing and Big Data 2014th Edition

Author(s): Robert Qiu (Author), Michael Wicks (Author)

  • Publisher: Springer
  • Publication Date: 5 Aug. 2013
  • Edition: 2014th
  • Language: English
  • Print length: 637 pages
  • ISBN-10: 1461445434
  • ISBN-13: 9781461445432

Book Description

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.

Editorial Reviews

Review

From the book reviews:

“The book deals with big data which is connected with high-dimensional statistics, smart grid, cognitive networked sensing, cognitive radio networks with interface to a cognitive radar. … The book is an excellent contribution to large data analysis and communication, distributed computing, radio, and radar sciences. The book may be used at graduate and postgraduate levels in electrical engineering and computer science.” (Nirode C. Mohanty, zbMATH, Vol. 1291, 2014)

From the Back Cover

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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