Abstract
In this paper, a cluster-based energy-efficient Cognitive Internet of Things (CIoT) is proposed, which can harvest the radio frequency (RF) energy of the primary user (PU) to supply energy consumption of spectrum sensing. A joint optimization problem of time and node is presented to maximize the spectrum access probability of the CIoT. The simulations show that there are optimal resource allocations to improve both spectrum efficiency and energy efficiency of CIoT.
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Acknowledgements
This paper is supported by the National Natural Science Foundations of China under Grants 61601221, 61671183 and 61771163, the Joint Foundation of the National Natural Science Foundations of China and the Civil Aviation of China under Grant U1833102, and the China Postdoctoral Science Foundations under Grants 2015M580425 and 2018T110496.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liu, X., Jia, M., Na, Z. (2019). Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_50
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DOI: https://doi.org/10.1007/978-3-030-19156-6_50
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