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Title	Imost: An Iot Framework For Energy Efficient Street Lights
ID_Doc	30286
Authors	Uddin M.M.; Stapp J.; Vechione M.; Sundaravadivel P.
Year	2022
Published	2022 IEEE 8th World Forum on Internet of Things, WF-IoT 2022
DOI	http://dx.doi.org/10.1109/WF-IoT54382.2022.10152180
Abstract	The amount of greenhouse gas emissions from streetlights is equivalent to 2.6 million cars with as many as 26 million streetlights in the United States. The proposed IoT controller integrates sensors to make these streetlights as hubs for smart environment monitoring with effective energy usage. Conservation of energy is one of the main concerns in the modern era, and energy coming from the sun can be utilized efficiently alongside a smart streetlight management system instead of conventional streetlight management techniques. Additionally, with streetlights being present throughout a city, the opportunity to collect city-wide weather data is proposed. To this end, a solar-powered IoT-based smart street lighting and environmental monitoring system is proposed. The proposed energy-efficient IoT-based system uses a microcontroller to control light-emitting diode (LED) streetlights depending on lighting conditions and vehicle detection, ensuring that the streetlights can be turned on when needed. © 2022 IEEE.
Author Keywords	IoT; smart city; smart lighting

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