| Title |
iMOST: An IoT Framework for Energy Efficient Street Lights |
| ID_Doc |
42860 |
| Authors |
Uddin, MM; Stapp, J; Vechione, M; Sundaravadivel, P |
| Title |
iMOST: An IoT Framework for Energy Efficient Street Lights |
| Year |
2022 |
| Published |
|
| DOI |
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. |
| Author Keywords |
smart lighting; smart city; IoT |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:001017754700089 |
| WoS Category |
Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
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