Abstract
The smart parking systems aim to quickly allocate parking lot that meets driver’s requirements as much as possible. This paper proposed a parking lot allocation system based on cooperation between locally distributed Mobile Edge Computing (MEC) servers without a centralized server, leveraging the characteristics that parking lots are selected in areas geographically limited to the vehicle’s destination. In addition, we proposed a method of expressing the degree to which each parking lot satisfies the driver’s requirements in the parking lot allocation process as a score. Using NS-3, a network simulator, we measured the level of user satisfaction with the parking lot allocation, and the network overhead. Comparing the proposed system with the existing ones, it is shown that the proposed system has smaller overhead and shorter delay while maintaining higher level of user satisfaction with the parking lot allocation.
Original language | English |
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Pages (from-to) | 1250-1263 |
Number of pages | 14 |
Journal | Journal of Korean Institute of Communications and Information Sciences |
Volume | 49 |
Issue number | 9 |
DOIs | |
State | Published - 1 Sep 2024 |
Bibliographical note
Publisher Copyright:© 2024, Korean Institute of Communications and Information Sciences. All rights reserved.
Keywords
- Cloud
- Mobile Edge Computing
- Smart Parking System