Resource management for energy and spectrum harvesting sensor networks

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 sens...

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Bibliographic Details
Main Authors Zhang, Deyu (Author), Chen, Zhigang (Author), Zhou, Haibo (Author), Shen, X. 1958- (Author)
Format Electronic eBook
LanguageEnglish
Published Cham, Switzerland : Springer, 2017.
SeriesSpringerBriefs in electrical and computer engineering.
Subjects
Radio resource management (Wireless communications)
Wireless sensor networks > Management.
elektronické knihy
electronic books
Online AccessPlný text

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MARC

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035 |a (OCoLC)974947439  |z (OCoLC)975936296  |z (OCoLC)976133663  |z (OCoLC)976235093  |z (OCoLC)978644934  |z (OCoLC)978794134  |z (OCoLC)979189594  |z (OCoLC)979342099  |z (OCoLC)979511372  |z (OCoLC)984872680  |z (OCoLC)999419422  |z (OCoLC)1005793062  |z (OCoLC)1011900765  |z (OCoLC)1048132165  |z (OCoLC)1066540161  |z (OCoLC)1086464316  |z (OCoLC)1112553937  |z (OCoLC)1113445273  |z (OCoLC)1113454031  |z (OCoLC)1127142154 
245 0 0 |a Resource management for energy and spectrum harvesting sensor networks /  |c Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen. 
264 1 |a Cham, Switzerland :  |b Springer,  |c 2017. 
300 |a 1 online resource (ix, 79 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a SpringerBriefs in electrical and computer engineering,  |x 2191-8112 
504 |a Includes bibliographical references. 
505 0 |a Preface; 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. 
505 8 |a 2.2.2 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. 
505 8 |a 3.4.2 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. 
505 8 |a 4.4.3 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. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a 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 valuable. 
590 |a SpringerLink  |b Springer Complete eBooks 
650 0 |a Radio resource management (Wireless communications) 
650 0 |a Wireless sensor networks  |x Management. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
700 1 |a Zhang, Deyu,  |e author. 
700 1 |a Chen, Zhigang,  |e author. 
700 1 |a Zhou, Haibo,  |e author. 
700 1 |a Shen, X.  |q (Xuemin),  |d 1958-  |e author. 
776 0 8 |i Print version:  |t Resource management for energy and spectrum harvesting sensor networks.  |d Cham, Switzerland : Springer, 2017  |z 3319537709  |z 9783319537702  |w (OCoLC)968760852 
830 0 |a SpringerBriefs in electrical and computer engineering. 
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992 |c NTK-SpringerENG 
999 |c 99882  |d 99882 

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