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000780106 020__ $$a9783319537719$$q(electronic book)
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000780106 0247_ $$a10.1007/978-3-319-53771-9$$2doi
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000780106 050_4 $$aTK5103.4873
000780106 08204 $$a621.382$$223
000780106 24500 $$aResource management for energy and spectrum harvesting sensor networks /$$cDeyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen.
000780106 264_1 $$aCham, Switzerland :$$bSpringer,$$c2017.
000780106 300__ $$a1 online resource (ix, 79 pages) :$$billustrations.
000780106 336__ $$atext$$btxt$$2rdacontent
000780106 337__ $$acomputer$$bc$$2rdamedia
000780106 338__ $$aonline resource$$bcr$$2rdacarrier
000780106 347__ $$atext file$$bPDF$$2rda
000780106 4901_ $$aSpringerBriefs in electrical and computer engineering,$$x2191-8112
000780106 504__ $$aIncludes bibliographical references.
000780106 5050_ $$aPreface; Contents; Acronyms; 1 Introduction; 1.1 Resource Constraints in Wireless Sensor Networks; 1.2 Enabling Techniques for Energy and Spectrum Harvesting; 1.2.1 Energy Harvesting; 1.2.2 Spectrum Harvesting; 1.3 Energy and Spectrum Harvesting Sensor Networks; 1.3.1 Network Architecture; 1.3.2 Applications of ESHSNs; 1.3.3 Challenges for ESHSNs; 1.4 Aim of the Monograph; References; 2 Energy and Spectrum Harvesting in Sensor Networks; 2.1 Energy Harvesting; 2.1.1 EH Process Modeling; 2.1.2 Energy Allocation; 2.2 Spectrum Harvesting; 2.2.1 Spectrum Sensing
000780106 5058_ $$a2.2.2 Resource Allocation in Spectrum Harvesting Sensor Networks2.3 Joint Energy and Spectrum Harvesting in Wireless Networks; 2.3.1 Green Energy-Powered SH Networks; 2.3.2 RF-Powered SH Networks; 2.4 Conclusion; References; 3 Spectrum Sensing and Access in Heterogeneous SHSNs; 3.1 Introduction; 3.2 System Model; 3.2.1 Network Architecture; 3.2.2 EH-Powered Spectrum Sensing; 3.3 Problem Statement and Proposed Solution; 3.3.1 Spectrum-Sensing Scheduling; 3.3.2 Data Sensor Resource Allocation; 3.4 Performance Evaluation; 3.4.1 Detected Channel Available Time
000780106 5058_ $$a3.4.2 Energy Consumption of Data Transmission3.5 Summary; References; 4 Joint Energy and Spectrum Management in ESHSNs; 4.1 Introduction; 4.2 System Model and Problem Formulation; 4.2.1 Channel Allocation and Collision Control Model; 4.2.2 Energy Supply and Consumption Model; 4.2.3 Data Sensing and Transmission Model; 4.2.4 Problem Formulation; 4.3 Network Utility Optimization Framework; 4.3.1 Problem Decomposition; 4.3.2 Utility-Optimal Resource Management Algorithm; 4.4 System Performance Analysis; 4.4.1 Upper Bounds on Queues; 4.4.2 Required Battery Capacity
000780106 5058_ $$a4.4.3 Optimality of the Proposed Algorithm4.5 Performance Evaluation; 4.5.1 Network Utility and Queue Dynamics; 4.5.2 Impact of Parameter Variation; 4.6 Summary; References; 5 Conclusion and Future Research Directions; 5.1 Concluding Remarks; 5.2 Future Research Directions; 5.2.1 Real Data-Driven EH Process and PU Activities Modeling; 5.2.2 Joint Spectrum Detection and Access; 5.2.3 Resource Allocation in Multi-hop ESHSNs
000780106 506__ $$aAccess limited to authorized users.
000780106 520__ $$aThis SpringerBrief offers a comprehensive review and in-depth discussion of the current research on resource management. The authors explain how to best utilize harvested energy and temporally available licensed spectrum. Throughout the brief, the primary focus is energy and spectrum harvesting sensor networks (ESHNs) including energy harvesting (EH)-powered spectrum sensing and dynamic spectrum access. To efficiently collect data through the available licensed spectrum, this brief examines the joint management of energy and spectrum. An EH-powered spectrum sensing and management scheme for Heterogeneous Spectrum Harvesting Sensor Networks (HSHSNs) is presented in this brief. The scheme dynamically schedules the data sensing and spectrum access of sensors in ESHSNs to optimize the network utility, while considering the stochastic nature of EH process, PU activities and channel conditions. This brief also provides useful insights for the practical resource management scheme design for ESHSNs and motivates a new line of thinking for future sensor networking. Professionals, researchers, and advanced-level students in electrical or computer engineering will find the content valuable.
000780106 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 21, 2017).
000780106 650_0 $$aRadio resource management (Wireless communications)
000780106 650_0 $$aWireless sensor networks$$xManagement.
000780106 7001_ $$aZhang, Deyu,$$eauthor.
000780106 7001_ $$aChen, Zhigang,$$eauthor.
000780106 7001_ $$aZhou, Haibo,$$eauthor.
000780106 7001_ $$aShen, X.$$q(Xuemin),$$d1958-$$eauthor.
000780106 77608 $$iPrint version:$$z3319537709$$z9783319537702$$w(OCoLC)968760852
000780106 830_0 $$aSpringerBriefs in electrical and computer engineering.
000780106 852__ $$bebk
000780106 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-53771-9$$zOnline Access$$91397441.1
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000780106 980__ $$aBIB
000780106 982__ $$aEbook
000780106 983__ $$aOnline
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