P2P Network Based Smart Parking System Using Edge Computing


Smart parking techniques are widely used in smart city and intelligent transportation systems. However, how to build a friendly and effective smart parking system in a large city is still a challenge. This paper proposes a P2P network based smart parking system using Edge Computing. It utilizes Cloud Computing, Edge Computing, and P2P network techniques to provide plenty of services including parking space inquiry, navigation, vehicle license plate recognition, payment, and accident query. The architecture of the system and the related protocols and algorithms are presented in detail. Compared with the existing smart parking systems, the proposed system is more friendly and effective.

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Correspondence to Xu Lu or Cong Tian or Zhenhua Duan.

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We declare that we have no financial and personal relationships with other people or organizations that can inappropriately influence our work, there is no professional or other personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled “P2P Network Based Smart Parking System Using Edge Computing”.

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This research is supported by National Natural Science Foundation of China under grant Nos. 61751207, 61732013 and 61806158, Shaanxi Key Science and Technology Innovation Team Project under Grant No. 2019TD-001, and National Key Research and Development Program of China under Grant No. 2018AAA0103202.

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Zhang, N., Lu, X., Tian, C. et al. P2P Network Based Smart Parking System Using Edge Computing. Mobile Netw Appl (2020). https://doi.org/10.1007/s11036-020-01660-x

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  • Smart parking
  • Intelligent transportation system
  • P2P network
  • Edge computing
  • Cloud computing