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6GN for Future Wireless Networks. Third EAI International Conference, 6GN 2020, Tianjin, China, August 15-16, 2020, Proceedings

Research Article

UAV Powered Cooperative Anti-interference MEC Network for Intelligent Agriculture

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  • @INPROCEEDINGS{10.1007/978-3-030-63941-9_22,
        author={Chenkai Li and Weidang Lu and Xiaohan Xu and Hong Peng and Guoxing Huang},
        title={UAV Powered Cooperative Anti-interference MEC Network for Intelligent Agriculture},
        proceedings={6GN for Future Wireless Networks. Third EAI International Conference, 6GN 2020, Tianjin, China, August 15-16, 2020, Proceedings},
        proceedings_a={6GN},
        year={2021},
        month={1},
        keywords={Wireless power transfer (WPT) Mobile edge computing Cooperation UAV},
        doi={10.1007/978-3-030-63941-9_22}
    }
    
  • Chenkai Li
    Weidang Lu
    Xiaohan Xu
    Hong Peng
    Guoxing Huang
    Year: 2021
    UAV Powered Cooperative Anti-interference MEC Network for Intelligent Agriculture
    6GN
    Springer
    DOI: 10.1007/978-3-030-63941-9_22
Chenkai Li1, Weidang Lu1,*, Xiaohan Xu1, Hong Peng1, Guoxing Huang1
  • 1: College of Information Engineering, Zhejiang University of Technology
*Contact email: luweid@zjut.edu.cn

Abstract

Mobile edge computing (MEC) provides computing resources for lots of Internet-of-things (IoT) devices in intelligent agriculture, improving the efficiency of agriculture. The energy harvesting efficiency of wireless power MEC system can be improved through combining unmanned aerial vehicle (UAV) technique. In this paper, we propose an UAV powered cooperative anti-interference mobile edge computing strategy for intelligent agriculture, in which IoT devices transmit their information through distinct subcarriers. Required energy for information transmission of UAV is minimized through optimizing power allocation. Simulation results demonstrate the performance of our proposed strategy.

Keywords
Wireless power transfer (WPT) Mobile edge computing Cooperation UAV
Published
2021-01-29
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-63941-9_22
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