LEADER 03910nam 22006135 450 001 9910254338503321 005 20201114075439.0 024 7 $a10.1007/978-3-319-53771-9 035 $a(CKB)3710000001095490 035 $a(DE-He213)978-3-319-53771-9 035 $a(MiAaPQ)EBC4820334 035 $a(PPN)199768196 035 $a(EXLCZ)993710000001095490 100 $a20170308d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResource Management for Energy and Spectrum Harvesting Sensor Networks /$fby Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (IX, 79 p. 25 illus.) 225 1 $aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 311 $a3-319-53771-7 311 $a3-319-53770-9 320 $aIncludes bibliographical references at the end of each chapters. 327 $aIntroduction -- Energy and Spectrum Harvesting in Sensor Networks -- Spectrum Sensing and Access in Heterogeneous SHSNs -- Joint Energy and Spectrum Management in ESHSNs -- Conclusion and Future Research Directions. 330 $aThis SpringerBrief offers a comprehensive review and in-depth discussion of the current research on resource management. The authors explain how to best utilize harvested energy and temporally available licensed spectrum. Throughout the brief, the primary focus is energy and spectrum harvesting sensor networks (ESHNs) including energy harvesting (EH)-powered spectrum sensing and dynamic spectrum access. To efficiently collect data through the available licensed spectrum, this brief examines the joint management of energy and spectrum. An EH-powered spectrum sensing and management scheme for Heterogeneous Spectrum Harvesting Sensor Networks (HSHSNs) is presented in this brief. The scheme dynamically schedules the data sensing and spectrum access of sensors in ESHSNs to optimize the network utility, while considering the stochastic nature of EH process, PU activities and channel conditions. This brief also provides useful insights for the practical resource management scheme design for ESHSNs and motivates a new line of thinking for future sensor networking. Professionals, researchers, and advanced-level students in electrical or computer engineering will find the content valuable. 410 0$aSpringerBriefs in Electrical and Computer Engineering,$x2191-8112 606 $aElectrical engineering 606 $aEnergy systems 606 $aComputer communication systems 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 communication systems. 615 14$aCommunications Engineering, Networks. 615 24$aEnergy Systems. 615 24$aComputer Communication Networks. 676 $a681.2 700 $aZhang$b Deyu$4aut$4http://id.loc.gov/vocabulary/relators/aut$0887188 702 $aChen$b Zhigang$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aZhou$b Haibo$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aShen$b Xuemin (Sherman)$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254338503321 996 $aResource Management for Energy and Spectrum Harvesting Sensor Networks$91981962 997 $aUNINA