TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-319-60318-6
DO  - doi
AB  - 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.
T1  - Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks /
DA  - 2018.
CY  - Cham :
AU  - Ren, Ju.
AU  - Zhang, Ning.
AU  - Shen, Xuemin (Sherman)
CN  - TK5103.4815
PB  - Springer International Publishing :
PB  - Imprint: Springer,
PP  - Cham :
PY  - 2018.
ID  - 826119
KW  - Engineering.
KW  - Computer communication systems.
KW  - Electric power production.
KW  - Electrical engineering.
SN  - 9783319603186
SN  - 3319603183
SN  - 9783319603179
SN  - 3319603175
TI  - Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-60318-6
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-60318-6
ER  -