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Resource Management for Energy and Spectrum Harvesting Sensor Networks

  • Book
  • © 2017

Overview

Authors:
  1. Deyu Zhang

    1. School of Software, Central South University, Changsha, China

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  2. Zhigang Chen

    1. School of Software, Central South University, Changsha, China

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  3. Haibo Zhou

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

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  4. Xuemin (Sherman) Shen

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

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Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-ix
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  2. Introduction

    • Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen
    Pages 1-8

  3. Energy and Spectrum Harvesting in Sensor Networks

    • Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen
    Pages 9-24

  4. Spectrum Sensing and Access in Heterogeneous SHSNs

    • Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen
    Pages 25-47

  5. Joint Energy and Spectrum Management in ESHSNs

    • Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen
    Pages 49-75

  6. Conclusion and Future Research Directions

    • Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen
    Pages 77-79
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Keywords

About this book

This SpringerBrief offers a comprehensive review and in-depth discussion of the current research on resource management. The authors explain how to best utilize harvested energy and temporally available licensed spectrum. Throughout the brief, the primary focus is energy and spectrum harvesting sensor networks (ESHNs) including energy harvesting (EH)-powered spectrum sensing and dynamic spectrum access.


To efficiently collect data through the available licensed spectrum, this brief examines the joint management of energy and spectrum. An EH-powered spectrum sensing and management scheme for Heterogeneous Spectrum Harvesting Sensor Networks (HSHSNs) is presented in this brief. The scheme dynamically schedules the data sensing and spectrum access of sensors in ESHSNs to optimize the network utility, while considering the stochastic nature of EH process, PU activities and channel conditions.


This brief also provides useful insights for the practical resource management scheme design for ESHSNs and motivates a new line of thinking for future sensor networking. Professionals, researchers, and advanced-level students in electrical or computer engineering will find the content valuable.

Authors and Affiliations

  • School of Software, Central South University, Changsha, China

    Deyu Zhang, Zhigang Chen

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

    Haibo Zhou, Xuemin (Sherman) Shen

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