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....

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Main Authors: Ren, Ju, Zhang, Ning (Author), Shen, Xuemin (Sherman) (Author)
Corporate Author: SpringerLink (Online service)
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
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505 0 |a 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 
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700 1 |a Shen, Xuemin (Sherman)  |e [author] 
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520 |a 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. The authors explore the benefits of an integrated energy efficient spectrum management solution for CRSNs including spectrum sensing, decision and allocation. Both theoretical and experimental aspects of CRSNs are covered in detail. Academics, researchers and developers will find this monograph an exceptional resource with valuable knowledge and insights. It also has extensive references from top journals, conference proceedings, books and standards