Citation

Ala'anzy, Alaa Fadhil and Ala'anzy, Mohammed Alaa and Bukar, Umar Ali and Zhukabayeva, Tamara and Baumuratova, Dilaram and Karabayev, Nurdaulet (2024) Real-Time Oversight of Parking Space Management in IoT Edge Computing for Industry 4.0: A Case Study. In: 2024 IEEE 7th International Symposium on Telecommunication Technologies (ISTT), 21-22 October 2024, Langkawi Island, Malaysia.

Text Real-Time_Oversight_of_Parking.pdf - Published Version Restricted to Repository staff only Download (2MB)

Abstract

The rapid increase in vehicle numbers, particularly in densely populated areas, leads to significant issues such as traffic congestion, time and fuel wastage during the search for parking spots, and elevated emissions of toxic gases from idling vehicles, contributing to increased pollution. Smart parking systems, leveraging advanced Internet of Things (IoT) technologies commonly seen in Industrial Internet of Things (IIoT) applications, offer a solution to these problems by reducing traffic congestion, lowering environmental pollution, and conserving fuel. Although cloud-based parking systems have been proposed, they often suffer from high latency and bandwidth requirements due to high network usage. Fog Computing presents a more effective alternative. This paper proposes a fog computing-based smart parking system designed to address these issues for SDU University. By providing real-time information about available parking spots with minimal latency, the system optimises space usage and guides drivers efficiently, particularly during peak hours, thereby reducing the need for parking area expansion. A network usage reducing approach was developed and tested using iFogSim2 toolkit, with network usage metric for a comparative analysis between fog and cloud environments. A real case study from SDU University Park was employed to validate the system. The results demonstrate that the fog-based system outperforms the cloud-based approach in terms of efficiency and responsiveness.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Fog computing, iFogSim, Internet of Things (IoT), network usage, smart cities
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	03 Jan 2025 05:22
Last Modified:	03 Jan 2025 05:22
URII:	http://shdl.mmu.edu.my/id/eprint/13295

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