Zhang, Deyu.
Resource Management for Energy and Spectrum Harvesting Sensor Networks [electronic resource] / by Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen. - 1st ed. 2017. - IX, 79 p. 25 illus. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8120 . - SpringerBriefs in Electrical and Computer Engineering, .
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 Directions.
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.
9783319537719
10.1007/978-3-319-53771-9 doi
Telecommunication.
Electric power production.
Computer networks .
Communications Engineering, Networks.
Electrical Power Engineering.
Mechanical Power Engineering.
Computer Communication Networks.
TK5101-5105.9
621.382
Resource Management for Energy and Spectrum Harvesting Sensor Networks [electronic resource] / by Deyu Zhang, Zhigang Chen, Haibo Zhou, Xuemin (Sherman) Shen. - 1st ed. 2017. - IX, 79 p. 25 illus. online resource. - SpringerBriefs in Electrical and Computer Engineering, 2191-8120 . - SpringerBriefs in Electrical and Computer Engineering, .
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 Directions.
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.
9783319537719
10.1007/978-3-319-53771-9 doi
Telecommunication.
Electric power production.
Computer networks .
Communications Engineering, Networks.
Electrical Power Engineering.
Mechanical Power Engineering.
Computer Communication Networks.
TK5101-5105.9
621.382