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Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks

  • Ju Ren
  • Ning Zhang
  • Xuemin (Sherman) Shen

Table of contents

  1. Front Matter
    Pages i-xv
  2. Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 1-13
  3. Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 15-22
  4. Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 23-50
  5. Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 51-79
  6. Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 81-106
  7. Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 107-110

About this book

Introduction

This monograph addresses the spectrum-scarcity problem by providing a comprehensive overview of spectrum resource management in Cognitive Radio Sensor Networks (CRSNs). It shows a variety of CRSN applications covering Machine-to-Machine communications, cyber physical systems and Internet-of-Things. The authors explore the benefits of an integrated energy efficient spectrum management solution for CRSNs including spectrum sensing, decision and allocation. Both theoretical and experimental aspects of CRSNs are covered in detail. 

Academics, researchers and developers will find this monograph an exceptional resource with valuable knowledge and insights. It also has extensive references from top journals, conference proceedings, books and standards.


Keywords

Cognitive radio sensor networks Spectrum management Energy efficiency Dynamic channel access Spectrum sensing Utility network maximization Internet-of-Things Spectrum sensing data falsification attacks Dual optimization Wireless communication Co-channel interference Reputation system Testbed

Authors and affiliations

  • Ju Ren
    • 1
  • Ning Zhang
    • 2
  • Xuemin (Sherman) Shen
    • 3
  1. 1.School of Information Science and EngineeringCentral South UniversityChangshaChina
  2. 2.Department of Electrical and Computer EngineeringUniversity of WaterlooWaterlooCanada
  3. 3.Department of Electrical and Computer EngineeringUniversity of WaterlooWaterlooCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-60318-6
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-60317-9
  • Online ISBN 978-3-319-60318-6
  • Buy this book on publisher's site
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