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Resource management for energy and spectrum harvesting sensor networks

Author: Deyu Zhang; Zhigang Chen; Haibo Zhou; X Shen
Publisher: Cham, Switzerland : Springer, 2017.
Series: SpringerBriefs in electrical and computer engineering.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Resource management for energy and spectrum harvesting sensor networks.
Cham, Switzerland : Springer, 2017
(OCoLC)968760852
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Deyu Zhang; Zhigang Chen; Haibo Zhou; X Shen
ISBN: 9783319537719 3319537717
OCLC Number: 974947439
Description: 1 online resource (ix, 79 pages) : illustrations.
Contents: Preface; Contents; Acronyms; 1 Introduction; 1.1 Resource Constraints in Wireless Sensor Networks; 1.2 Enabling Techniques for Energy and Spectrum Harvesting; 1.2.1 Energy Harvesting; 1.2.2 Spectrum Harvesting; 1.3 Energy and Spectrum Harvesting Sensor Networks; 1.3.1 Network Architecture; 1.3.2 Applications of ESHSNs; 1.3.3 Challenges for ESHSNs; 1.4 Aim of the Monograph; References; 2 Energy and Spectrum Harvesting in Sensor Networks; 2.1 Energy Harvesting; 2.1.1 EH Process Modeling; 2.1.2 Energy Allocation; 2.2 Spectrum Harvesting; 2.2.1 Spectrum Sensing. 2.2.2 Resource Allocation in Spectrum Harvesting Sensor Networks2.3 Joint Energy and Spectrum Harvesting in Wireless Networks; 2.3.1 Green Energy-Powered SH Networks; 2.3.2 RF-Powered SH Networks; 2.4 Conclusion; References; 3 Spectrum Sensing and Access in Heterogeneous SHSNs; 3.1 Introduction; 3.2 System Model; 3.2.1 Network Architecture; 3.2.2 EH-Powered Spectrum Sensing; 3.3 Problem Statement and Proposed Solution; 3.3.1 Spectrum-Sensing Scheduling; 3.3.2 Data Sensor Resource Allocation; 3.4 Performance Evaluation; 3.4.1 Detected Channel Available Time. 3.4.2 Energy Consumption of Data Transmission3.5 Summary; References; 4 Joint Energy and Spectrum Management in ESHSNs; 4.1 Introduction; 4.2 System Model and Problem Formulation; 4.2.1 Channel Allocation and Collision Control Model; 4.2.2 Energy Supply and Consumption Model; 4.2.3 Data Sensing and Transmission Model; 4.2.4 Problem Formulation; 4.3 Network Utility Optimization Framework; 4.3.1 Problem Decomposition; 4.3.2 Utility-Optimal Resource Management Algorithm; 4.4 System Performance Analysis; 4.4.1 Upper Bounds on Queues; 4.4.2 Required Battery Capacity. 4.4.3 Optimality of the Proposed Algorithm4.5 Performance Evaluation; 4.5.1 Network Utility and Queue Dynamics; 4.5.2 Impact of Parameter Variation; 4.6 Summary; References; 5 Conclusion and Future Research Directions; 5.1 Concluding Remarks; 5.2 Future Research Directions; 5.2.1 Real Data-Driven EH Process and PU Activities Modeling; 5.2.2 Joint Spectrum Detection and Access; 5.2.3 Resource Allocation in Multi-hop ESHSNs.
Series Title: SpringerBriefs in electrical and computer engineering.
Responsibility: Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen.

Abstract:

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  Read more...

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