Design and development of smart parking system based on fog computing and internet of things

Balfaqih, M. and Jabbar, W. and Khayyat, M. and Hassan, R. (2021) Design and development of smart parking system based on fog computing and internet of things. Electronics (Switzerland), 10 (24). pp. 1-18. ISSN 2079-9292. (Published)

[img]
Preview
Pdf (Open Access)
Design and development of smart parking system based on fog computing.pdf
Available under License Creative Commons Attribution.

Download (4MB) | Preview

Abstract

Current parking systems employ a single gateway‐centered solution (i.e., cloud) for data processing which leads to the possibility of a single point of failure, data loss, and high delays. Moreover, the parking‐spot selection process considers criteria that do not maximize parking utilization and revenue. The pricing strategy does not achieve high revenue because a fixed pricing rate is utilized. To address these issues, this paper proposes a smart parking system based on the Internet of Things (IoT) that provides useful information to drivers and parking administrators about available parking spots and related services such as parking navigation, reservation, and availability estimation. A multi‐layer architecture is developed that consists of multiple sensor nodes, and fog and cloud computing layers. The acquired parking data are processed through fog computing nodes to facilitate obtaining the required real‐time parking data. A novel algorithm to obtain the optimal parking spot with the minimum arrival time is also presented. Proof‐of‐concept implementation and simulation evaluations are conducted to validate the system performance. The findings show that the system reduces the parking arrival time by 16%–46% compared to current parking systems. In addition, the revenue is increased for the parking authority by 10%–15%.

Item Type: Article
Additional Information: Indexed by Scopus
Uncontrolled Keywords: Availability estimation; Fog computing; Parking‐spot selection; Pricing strategy; Smart parking
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical and Electronic Engineering Technology
Depositing User: Mr Muhamad Firdaus Janih@Jaini
Date Deposited: 06 Jan 2022 04:16
Last Modified: 06 Jan 2022 04:16
URI: http://umpir.ump.edu.my/id/eprint/33081
Download Statistic: View Download Statistics

Actions (login required)

View Item View Item