Abstract
Smart parking systems become very important nowadays because of the growth of the number of cars in cities and the necessity to rapidly find an empty parking lot. Although there is no a hard real time need, but it is preferable to quickly serve the users entering to the park before the arrival of other users which can cause many conflicts. So we propose a soft real time smart parking management method based on a sensor network to capture the lots state. A multi-objective optimization based on time and energy constraints is proposed and solved, and many simulations with VisualSense are done to evaluate the performance of our work.
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Achour, M., Boufaied, A. (2023). Multi-objective Optimization for Sensor Networks Based Smart Parking Systems. In: Abraham, A., Pllana, S., Casalino, G., Ma, K., Bajaj, A. (eds) Intelligent Systems Design and Applications. ISDA 2022. Lecture Notes in Networks and Systems, vol 646. Springer, Cham. https://doi.org/10.1007/978-3-031-27440-4_22
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DOI: https://doi.org/10.1007/978-3-031-27440-4_22
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