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Renewable Energy Powered IoT Data Traffic Aggregation for Edge Computing

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Book cover Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 517))

Abstract

With the development of the Internet of Things (IoT) industry and the arrival of the 5G era, edge computing is considered to be the more suitable computing technology for the IoT. In this paper, we propose an edge-computing-based M2M data aggregation wireless transmission system powered by efficient renewable energy allocation servicing for the edge devices. The pricing scheme problem is formulated as a Stackelberg game between the operator and multi-RPSs. Simulation results show how the previous pricing scheme and bandwidth of each node affect the renewable energy storage levels of each RPS and his own profit. The results also show the operator’s optimal service price scheme and the equilibrium renewable energy storage level of each RPS.

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References

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Acknowledgments

This work was supported in part by the NSF of Jiangsu Province under Grant BK20161518 and Grant BK20171444, in part by the Open Research Fund of National Mobile Communications Research Laboratory, Southeast University, under Grant 2018D05, in part by the National Natural Science Foundation of China under Grant 61772287, Grant 61771252, and in part by the Open Research Fund of Jiangsu Engineering Research Center of Communication and Network Technology, NJUPT.

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Authors and Affiliations

  1. Jangsu Engineering Research Center of Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Cunchao Peng, Dapeng Li, Feng Tian & Yongan Guo

  2. National Mobile Communications Research Laboratory, Southeast University, Nanjing, 210096, China

    Dapeng Li

Authors
  1. Cunchao Peng
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  2. Dapeng Li
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  3. Feng Tian
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  4. Yongan Guo
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Corresponding author

Correspondence to Dapeng Li .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, TX, USA

    Qilian Liang

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

    Xin Liu

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

    Zhenyu Na

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Peng, C., Li, D., Tian, F., Guo, Y. (2020). Renewable Energy Powered IoT Data Traffic Aggregation for Edge Computing. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 517. Springer, Singapore. https://doi.org/10.1007/978-981-13-6508-9_105

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  • DOI: https://doi.org/10.1007/978-981-13-6508-9_105

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6507-2

  • Online ISBN: 978-981-13-6508-9

  • eBook Packages: EngineeringEngineering (R0)

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