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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CITATION STYLE
Liu, X., Jia, M., & Na, Z. (2019). Optimal Resource Optimization for Cluster-Based Energy-Efficient Cognitive IoT. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 281, pp. 532–540). Springer Verlag. https://doi.org/10.1007/978-3-030-19156-6_50
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