Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks
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....
| Main Authors: | , , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham
Springer International Publishing
2018, 2018
|
| Edition: | 1st ed. 2018 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Wireless Sensor Networks
- Cognitive Radio
- Cognitive Radio Sensor Networks
- Applications and Challenges of CRSN
- Arisen Challenges for CRSNs
- Spectrum Resource Management for CRSNs
- Dynamic Spectrum Access Decision
- Secure Collaborative Spectrum Sensing
- Joint Energy Management and Spectrum Resource Allocation
- Dynamic and Energy-Efficient Channel Access in Clustered CRSNs
- Dynamic Channel Access for Intra-Cluster Data Transmission
- Joint Power Allocation and Channel Access for Inter-Cluster Data Transmission.-Secure and Energy-Efficient Collaborative Spectrum Sensing
- Analysis on Trade-off Between Security and Energy-Efficiency
- FastDtec: Trust Evaluation for Fast Compromised Node Identification
- Secure and Energy-Efficient Collaborative Spectrum Sensing
- Joint Channel Allocation and Sampling Rate Control in EH-CRSNs
- System Model and Problem Formulation
- Problem Decomposition and Solution
- Subproblem Solutions
- JASC: Joint Channel Allocation and Sampling Rate Control Scheme
- Concluding Remarks and Future Directions
- Distributed Spectrum Resource Management for Large-Scale CRSNs
- Cross-layer Design for Opportunistic Spectrum Access
- Energy Harvesting and Transfer in CRSNs.