Abstract
The abundant use of personal vehicles has raised the challenge of parking the vehicle in a crowded place such as shopping malls. This paper proposes an efficient parking system for shopping malls. To process the IoT generated parking data, a hybrid Fog architecture is adopted, to reduce the latency, where the Fog nodes are connected across the hierarchy. An algorithm is defined to support the proposed architecture and is simulated on a real-world use-case having requirements of identifying the nearest free car parking slot. The implementation is simulated for a shopping mall with a multilevel parking space. The simulation results have proved that our proposed architecture shows lower latency as compared to the traditional cloud architecture.
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Suri, B., Dutta Pramanik, P.K., Taneja, S. (2020). An Efficient Parking Solution for Shopping Malls Using Hybrid Fog Architecture. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_28
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DOI: https://doi.org/10.1007/978-981-15-0324-5_28
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