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001 978-3-319-60318-6
003 DE-He213
005 20220801221258.0
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008 170802s2018 sz | s |||| 0|eng d
020 _a9783319603186
_9978-3-319-60318-6
024 7 _a10.1007/978-3-319-60318-6
_2doi
050 4 _aTK5101-5105.9
072 7 _aTJK
_2bicssc
072 7 _aTEC041000
_2bisacsh
072 7 _aTJK
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082 0 4 _a621.382
_223
100 1 _aRen, Ju.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955103
245 1 0 _aEnergy-Efficient Spectrum Management for Cognitive Radio Sensor Networks
_h[electronic resource] /
_cby Ju Ren, Ning Zhang, Xuemin (Sherman) Shen.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXV, 110 p. 38 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aWireless 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. .
520 _aThis 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.
650 0 _aTelecommunication.
_910437
650 0 _aElectric power production.
_927574
650 0 _aComputer networks .
_931572
650 1 4 _aCommunications Engineering, Networks.
_931570
650 2 4 _aElectrical Power Engineering.
_931821
650 2 4 _aMechanical Power Engineering.
_932122
650 2 4 _aComputer Communication Networks.
_955104
700 1 _aZhang, Ning.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955105
700 1 _aShen, Xuemin (Sherman).
_eauthor.
_0(orcid)0000-0002-4140-287X
_1https://orcid.org/0000-0002-4140-287X
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955106
710 2 _aSpringerLink (Online service)
_955107
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319603179
776 0 8 _iPrinted edition:
_z9783319603193
776 0 8 _iPrinted edition:
_z9783319868349
856 4 0 _uhttps://doi.org/10.1007/978-3-319-60318-6
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79489
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