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

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Machine Learning and Intelligent Communications (MLICOM 2019)

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.

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Acknowledgements

This paper is supported by the National Natural Science Foundations of China under Grants 61601221 and 61871348, 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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Authors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China

    Xin Liu

  2. School of Civil Engineering, Dalian University of Technology, Dalian, 116024, China

    Xueyan Zhang

  3. College of Information Engineering, Zhejiang University of Technology, Hangzhou, 310014, China

    Weidang Lu

  4. School of Information Science and Technology, Dalian Maritime University, Dalian, 116026, China

    Mudi Xiong

Authors
  1. Xin Liu
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  2. Xueyan Zhang
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  3. Weidang Lu
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  4. Mudi Xiong
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Corresponding author

Correspondence to Xin Liu .

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Editors and Affiliations

  1. Aeronautics and Astronautics of Nanjing University, Nanjing, China

    Xiangping Bryce Zhai

  2. Aeronautics and Astronautics of Nanjing University, Nanjing, China

    Bing Chen

  3. Aeronautics and Astronautics of Nanjing University, Nanjing, China

    Kun Zhu

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Liu, X., Zhang, X., Lu, W., Xiong, M. (2019). Energy Efficiency Maximization for Green Cognitive Internet of Things with Energy Harvesting. In: Zhai, X., Chen, B., Zhu, K. (eds) Machine Learning and Intelligent Communications. MLICOM 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 294. Springer, Cham. https://doi.org/10.1007/978-3-030-32388-2_24

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  • DOI: https://doi.org/10.1007/978-3-030-32388-2_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32387-5

  • Online ISBN: 978-3-030-32388-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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