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Title	Optimizing Smart City Street Lighting: A Hybrid Iot-Sac Approach
ID_Doc	40887
Authors	Tercha, W; Chekired, F; Tadjer, SA; Canale, L
Year	2024
Published	2024 IEEE INTERNATIONAL SMART CITIES CONFERENCE, ISC2
DOI	http://dx.doi.org/10.1109/ISC260477.2024.11004225
Abstract	The confluence of artificial intelligence (AI) and the internet of things (IoT) is fast changing the concept of smart cities. Smart street lighting is only one example of the great opportunities this potent combination presents for enhancing urban infrastructure. While previous studies have looked into the possibility of combining IoT and Soft Actor-Critic (SAC) for this goal, this work takes a different tack. A simulated Internet of Things system that replicates real-world sensor data is used in our work. The SAC algorithm receives data from this system on variables like ambient light levels, weather, and vehicle and pedestrian traffic. The SAC algorithm modifies street light operation patterns and brightness dynamically within this controlled environment. This enables us to fine-tune the hybrid strategy so that it strikes a balance between user comfort and energy efficiency.
Author Keywords	smart cities; smart lighting; IoT; SAC

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