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Titlebook: Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks; Ju Ren,Ning Zhang,Xuemin (Sherman) Shen Book 2018 Springer Inter

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書目名稱Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks
編輯Ju Ren,Ning Zhang,Xuemin (Sherman) Shen
視頻videohttp://file.papertrans.cn/311/310577/310577.mp4
概述Discusses spectrum resource management in cognitive radio sensor networks from an energy efficiency perspective.Introduces a variety of CRSN applications covering M2M communications, cyber physical sy
圖書封面Titlebook: Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks;  Ju Ren,Ning Zhang,Xuemin (Sherman) Shen Book 2018 Springer Inter
描述This monograph addresses the spectrum-scarcity problem by providing a comprehensive overview of spectrum resource management in Cognitive Radio Sensor Networks (CRSNs). It shows a variety of CRSN applications covering Machine-to-Machine communications, cyber physical systems and Internet-of-Things. The authors explore the benefits of an integrated energy efficient spectrum management solution for CRSNs including spectrum sensing, decision and allocation. Both theoretical and experimental aspects of CRSNs are covered in detail.?.Academics, researchers and developers will find this monograph an exceptional resource with valuable knowledge and insights. It also has extensive references from top journals, conference proceedings, books and standards..
出版日期Book 2018
關(guān)鍵詞Cognitive radio sensor networks; Spectrum management; Energy efficiency; Dynamic channel access; Spectru
版次1
doihttps://doi.org/10.1007/978-3-319-60318-6
isbn_softcover978-3-319-86834-9
isbn_ebook978-3-319-60318-6
copyrightSpringer International Publishing AG 2018
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Concluding Remarks and Future Directions,In this monograph, we have provide a comprehensive investigation on energy-efficient spectrum resource management for CRSNs. Based on the analysis and discussion given in this monograph, we present the following concluding remarks.
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978-3-319-86834-9Springer International Publishing AG 2018
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Molecule-Silver Separation Dependenceuch as environmental monitoring, health-care, industrial detection and smart grid. However, due to the explosion of mobile devices and wireless services during recent years, the unlicensed spectrum, especially the Industrial, Scientific and Medical (ISM) bands, is becoming increasingly crowded. Cons
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Grids, Surveys, Models, and Economicsthe licensed channels are sensed as available. As a result, the dynamic channel access becomes critical to guarantee the quality-of-service (QoS) for CRSNs [.]. In this regard, a number of existing works provide comprehensive investigation to reduce transmission delay [.–.] and improve network capac
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