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Resource Management for Energy and Spectrum Harvesting Sensor Networks / by Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerBriefs in Electrical and Computer Engineering | SpringerLink Bücher | Springer eBook Collection EngineeringPublisher: Cham : Springer, 2017Description: Online-Ressource (IX, 79 p. 25 illus, online resource)ISBN:
  • 9783319537719
Subject(s): Additional physical formats: 9783319537702 | Druckausg.: 978-3-319-53770-2 | Printed edition: 9783319537702 LOC classification:
  • TK1-9971
DOI: DOI: 10.1007/978-3-319-53771-9Online resources: Summary: This 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 valuableSummary: Introduction -- 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 DirectionsPPN: PPN: 1657568199Package identifier: Produktsigel: ZDB-2-ENG
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