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010   $a3-030-15416-5
024 7 $a10.1007/978-3-030-15416-5
035   $a(CKB)4100000008103803
035   $a(MiAaPQ)EBC5776215
035   $a(DE-He213)978-3-030-15416-5
035   $a(PPN)236524534
035   $a(EXLCZ)994100000008103803
100   $a20190502d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aIntelligent Spectrum Handovers in Cognitive Radio Networks /$fby Anandakumar Haldorai, Umamaheswari Kandaswamy
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (230 pages)
225 1 $aEAI/Springer Innovations in Communication and Computing,$x2522-8595
311   $a3-030-15415-7 
327   $aChapter1: Cooperative Spectrum Handovers in Cognitive Radio Networks -- Chapter2: Intelligent Cognitive Radio Communication ? A Detailed Approach -- Chapter3: Energy Efficient Spectrum Handovers in Cognitive Network Selection -- Chapter4: Software Radio Architecture: A Mathematical Perspective -- Chapter5: Distributed Algorithms for Learning and Cognitive Medium -- Chapter6: Dynamic Spectrum Handovers in Cognitive Radio Networks -- Chapter7: Supervised Machine Learning Techniques in Cognitive Radio Network Handovers -- Chapter8: Green Wireless Communications via Cognitive Handover -- Chapter9: Secure Distributed Spectrum Sensing in Cognitive Radio Networks -- Chapter10: Applications and Services of Intelligent Spectrum Handover.
330   $aThis book highlights the need for an efficient Handover Decision (HD) mechanism to perform switches from one network to another and to provide unified and continuous mobile services that include seamless connectivity and ubiquitous service access. The author shows how the HD involves efficiently combining handover initiation and network selection process. The author describes how the network selection decision is a challenging task that is a central component to making HD for any mobile user in a heterogeneous environment that involves a number of static and dynamic parameters. The author also discusses prevailing technical challenges like Dynamic Spectrum Allocation (DSA) methods, spectrum sensing, cooperative communications, cognitive network architecture protocol design, cognitive network security challenges and dynamic adaptation algorithms for cognitive system and the evolving behavior of systems in general. The book allows the reader to optimize the sensing time for maximizing the spectrum utilization, improve the lifetime of the cognitive radio network (CRN) using active scan spectrum sensing techniques, analyze energy efficiency of CRN, find a secondary user spectrum allocation, perform dynamic handovers, and use efficient data communication in the cognitive networks. Identifies energy efficient spectrum sensing techniques for Cooperative Cognitive Radio Networks (CRN); Shows how to maximize the energy capacity by minimizing the outage probability; Features end-of-chapter summaries, performance measures, and case studies.
410  0$aEAI/Springer Innovations in Communication and Computing,$x2522-8595
606   $aElectrical engineering
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aComputer communication systems
606   $aComputational intelligence
606   $aCommunications Engineering, Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24035
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aComputer Communication Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/I13022
606   $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014
615  0$aElectrical engineering.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aComputer communication systems.
615  0$aComputational intelligence.
615 14$aCommunications Engineering, Networks.
615 24$aSignal, Image and Speech Processing.
615 24$aComputer Communication Networks.
615 24$aComputational Intelligence.
676   $a621.384
676   $a004.685
700   $aHaldorai$b Anandakumar$4aut$4http://id.loc.gov/vocabulary/relators/aut$0867177
702   $aKandaswamy$b Umamaheswari$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337601703321
996   $aIntelligent Spectrum Handovers in Cognitive Radio Networks$91935498
997   $aUNINA