Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings

Research Article

Energy Efficiency Maximization for Green Cognitive Internet of Things with Energy Harvesting

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  • @INPROCEEDINGS{10.1007/978-3-030-32388-2_24,
        author={Xin Liu and Xueyan Zhang and Weidang Lu and Mudi Xiong},
        title={Energy Efficiency Maximization for Green Cognitive Internet of Things with Energy Harvesting},
        proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings},
        proceedings_a={MLICOM},
        year={2019},
        month={10},
        keywords={CIoT Energy efficiency Energy harvesting Joint optimization},
        doi={10.1007/978-3-030-32388-2_24}
    }
    
  • Xin Liu
    Xueyan Zhang
    Weidang Lu
    Mudi Xiong
    Year: 2019
    Energy Efficiency Maximization for Green Cognitive Internet of Things with Energy Harvesting
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-32388-2_24
Xin Liu1,*, Xueyan Zhang1,*, Weidang Lu2,*, Mudi Xiong3,*
  • 1: Dalian University of Technology
  • 2: Zhejiang University of Technology
  • 3: Dalian Maritime University
*Contact email: liuxinstar1984@dlut.edu.cn, xueyan@dlut.edu.cn, luweid@zjut.edu.cn, xiongmudi@dlmu.edu.cn

Abstract

In this paper, a green cognitive Internet of Things (CIoT) has been proposed to collect the radio frequency (RF) energy of primary user (PU) by using energy harvesting. The CIoT nodes are divided into two independent groups to perform spectrum sensing and energy harvesting simultaneously in the sensing slot. The energy efficiency of the CIoT is maximized by through jointly optimizing sensing time, number of sensing nodes and transmission power. The suboptimal solution to the optimization problem is achieved using a joint optimization algorithm based on alternating direction optimization. Simulation results have indicated that the optimal solution is existed and the green CIoT outperforms the traditional scheme.