A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies

Thanh Nam Pham, Ming Fong Tsai, Duc Binh Nguyen, Chyi Ren Dow, Der Jiunn Deng

Research output: Contribution to journalArticlepeer-review

134 Citations (Scopus)


This paper introduces a novel algorithm that increases the efficiency of the current cloud-based smart-parking system and develops a network architecture based on the Internet-of-Things technology. This paper proposed a system that helps users automatically find a free parking space at the least cost based on new performance metrics to calculate the user parking cost by considering the distance and the total number of free places in each car park. This cost will be used to offer a solution of finding an available parking space upon a request by the user and a solution of suggesting a new car park if the current car park is full. The simulation results show that the algorithm helps improve the probability of successful parking and minimizes the user waiting time. We also successfully implemented the proposed system in the real world.

Original languageEnglish
Article number7247632
Pages (from-to)1581-1591
Number of pages11
JournalIEEE Access
Publication statusPublished - 2015

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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