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Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks

  • Book
  • © 2018

Overview

Authors:
  1. Ju Ren

    1. School of Information Science and Engineering, Central South University, Changsha, China

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  2. Ning Zhang

    1. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

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  3. Xuemin (Sherman) Shen

    1. Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

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  • Discusses spectrum resource management in cognitive radio sensor networks from an energy efficiency perspective

  • Introduces a variety of CRSN applications covering M2M communications, cyber physical systems and Internet-of-Things

  • Provides a comprehensive review of recent research on spectrum resource management in CRSNs

  • Includes practical aspects of CRSNs such as standards, implementations and testbeds

  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xv
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  2. Introduction

    • Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 1-13

  3. Spectrum Resource Management for CRSNs

    • Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 15-22

  4. Dynamic and Energy-Efficient Channel Access in Clustered CRSNs

    • Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 23-50

  5. Secure and Energy-Efficient Collaborative Spectrum Sensing

    • Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 51-79

  6. Joint Channel Allocation and Sampling Rate Control in EH-CRSNs

    • Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 81-106

  7. Concluding Remarks and Future Directions

    • Ju Ren, Ning Zhang, Xuemin (Sherman) Shen
    Pages 107-110
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Keywords

About this book

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.



Authors and Affiliations

  • School of Information Science and Engineering, Central South University, Changsha, China

    Ju Ren

  • Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, Canada

    Ning Zhang, Xuemin (Sherman) Shen

Bibliographic Information

  • Book Title: Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks

  • Authors: Ju Ren, Ning Zhang, Xuemin (Sherman) Shen

  • DOI: https://doi.org/10.1007/978-3-319-60318-6

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2018

  • Hardcover ISBN: 978-3-319-60317-9Published: 14 August 2017

  • Softcover ISBN: 978-3-319-86834-9Published: 04 August 2018

  • eBook ISBN: 978-3-319-60318-6Published: 01 August 2017

  • Edition Number: 1

  • Number of Pages: XV, 110

  • Number of Illustrations: 38 illustrations in colour

  • Topics: Communications Engineering, Networks, Energy Systems, Computer Communication Networks

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