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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Spectrum Resource Management for CRSNs,work performance. It motivates researchers to find new solutions for wireless sensor networking. The emergence of CRSN is a consequent result, which attracts growing attentions from both the academia and industry and experiences rapid development during the recent years. But different from tradition

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Dynamic and Energy-Efficient Channel Access in Clustered CRSNs,um bands [.]. This technology can also be applied to WSNs, which leads to Cognitive Radio Sensor Networks (CRSNs) [.]. Sensor nodes in CRSNs can sense the availability of licensed channels and adjust the operation parameters to access the idle ones, when the condition of the licensed-free channel de

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Secure and Energy-Efficient Collaborative Spectrum Sensing,ission. However, due to channel fading and shadowing, spectrum sensing by individual sensor node has inevitable sensing errors, which adversely impact the performance of both the CRSN and the primary users (PUs) of the licensed channels. To overcome the limitation of individual spectrum sensing, col

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Joint Channel Allocation and Sampling Rate Control in EH-CRSNs,the 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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Spectrum Resource Management for CRSNs,chapter, we provide a comprehensive review on the state-of-the-art research literature, which covers most of existing works in energy-efficient spectrum resource management in CRSNs, including dynamic spectrum access decision, secure cooperative spectrum sensing and spectrum resource allocation.

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Energy-Efficient Spectrum Management for Cognitive Radio Sensor Networks