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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.

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.

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