Journal on Communications ›› 2022, Vol. 43 ›› Issue (12): 146-156.doi: 10.11959/j.issn.1000-436x.2022231

• Papers • Previous Articles     Next Articles

Stackelberg game based energy optimization for unmanned aerial vehicle assisted wireless-powered Internet of things

Xumin HUANG1,2, Yang ZHANG1, Rong YU1, Li JIANG1, Hui TIAN3, Yuan WU2,4   

  1. 1 School of Automation, Guangdong University of Technology, Guangzhou 510006, China
    2 State Key Laboratory of Internet of Things for Smart City, University of Macau, Macau 999078, China
    3 State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
    4 Department of Computer and Information Science, University of Macau, Macau 999078, China
  • Revised:2022-10-28 Online:2022-12-25 Published:2022-12-01
  • Supported by:
    The National Key Research and Development Program of China(2020YFB1807802);The National Natural Science Foundation of China(62001125);The National Natural Science Foundation of China(61971148)

Abstract:

The technology integrating unmanned aerial vehicles (UAV) with wireless power transfer is applied to provide energy supply for Internet of things devices.A Stackelberg game scheme was further proposed to tackle the problem on free and fair energy trading between a charging user and multiple UAV.The user played as a game leader and determined the rewards while each UAV played as a game follower, which competed for the rewards through the energy supply, and refered to the average channel gain during the wireless power transfer to determine the charging time for the user.The Stackelberg equilibrium solution was analyzed and derived by the backward induction method.Simulation results show that the proposed scheme can effectively reduce the economic cost for the user in the energy trading, thereby improving user satisfaction and achieving the user-side energy optimization.

Key words: UAV, wireless power transfer, Stackelberg game, user-side energy optimization

CLC Number: 

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