Resource Management for Energy and Spectrum Harvesting Sensor Networks

1. Front Matter

   Pages i-ix

   PDF

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

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.

• Wireless sensor network
• Energy harvesting
• Spectrum harvesting
• Cognitive radio
• Lyapunov optimization
• Spectrum sensing
• Opportunistic spectrum access

• 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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