LEADER 04119nam 22005415 450 001 9910299914903321 005 20231116215335.0 010 $a3-319-60318-3 024 7 $a10.1007/978-3-319-60318-6 035 $a(CKB)3710000001630970 035 $a(MiAaPQ)EBC4935698 035 $a(DE-He213)978-3-319-60318-6 035 $a(PPN)203853571 035 $a(EXLCZ)993710000001630970 100 $a20170802d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aEnergy-Efficient Spectrum Management for Cognitive Radio Sensor Networks /$fby Ju Ren, Ning Zhang, Xuemin (Sherman) Shen 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (120 pages) 311 $a3-319-60317-5 320 $aIncludes bibliographical references at the end of each chapters. 327 $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. . 330 $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. 606 $aElectrical engineering 606 $aEnergy systems 606 $aComputer networks 606 $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035 606 $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000 606 $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022 615 0$aElectrical engineering. 615 0$aEnergy systems. 615 0$aComputer networks. 615 14$aCommunications Engineering, Networks. 615 24$aEnergy Systems. 615 24$aComputer Communication Networks. 676 $a621.384 700 $aRen$b Ju$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058109 702 $aZhang$b Ning$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShen$b X$g(Xuemin),$f1958-$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910299914903321 996 $aEnergy-Efficient Spectrum Management for Cognitive Radio Sensor Networks$92497198 997 $aUNINA