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Energy Trading Scheme Based on Stackelberg Game to Optimize Energy Price and Power

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Communications, Signal Processing, and Systems (CSPS 2018)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 515))

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Abstract

In this article, we use the Stackelberg game based on energy trading scheme to optimize two variable parameters at the same time. In wireless RF energy harvesting, we use energy access point EAP to charge the relay to help the system transfer information. Finally, the destination node will pay corresponding rewards to the EAP.

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References

  1. Hou, Z., Chen, H., Li, Y., Vucetic, B.: Incentive mechanism design for wireless energy harvesting-based internet of things. IEEE Internet Things J. (2017). doi: https://doi.org/10.1109/JIOT

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  3. Chen, H., Li, Y., Han, Z., Vucetic, B.: A stackelberg game-based energy trading scheme for power beacon-assisted wireless-powered communication. In: Proc. ICASSP, pp. 3177–3181 (2015)

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  4. Xu, Y., Mao, S.: Stackelberg game for cognitive radio networks with mimo and distributed interference alignment. IEEE Trans. Veh. Technol. 63(2), 879–892 (2014)

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  5. Lu, X., Wang, P., Niyato, D., Han, Z.: Resource allocation in wireless networks with RF energy harvesting and transfer. IEEE Netw. (2014)

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Correspondence to Weidang Lu .

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Liu, C., Lu, W., Zhang, J., Peng, H., Xu, Z., Hua, J. (2019). Energy Trading Scheme Based on Stackelberg Game to Optimize Energy Price and Power. 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 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_40

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  • DOI: https://doi.org/10.1007/978-981-13-6264-4_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6263-7

  • Online ISBN: 978-981-13-6264-4

  • eBook Packages: EngineeringEngineering (R0)

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