Mayuri Kathe
Sushil Bakhtar
- Student, Department of Electronics and Telecommunication, Prof Ram Meghe College of Engineering and Management, Amravati, Maharashtra, India
- Assistant Professor,, Department of Electronics and Telecommunication, Prof Ram Meghe College of Engineering and Management, Amravati, Maharashtra, India
Abstract
In the contemporary world, people expect all their demands to be satisfied. To address this human desire, scientific and technological developments are accelerating. One important factor in the quick development of technology is the Internet of Things (IoT). The goal of smart led street lighting systems is to create and implement cutting-edge IOT developments for energy-saving street lighting. Automation of street lighting is the best way to reduce electrical power waste since it eliminates the need for manual lighting system operation. This technique adjusts street light lighting by employing a sensor that uses the least amount of electrical energy possible. At night, when an object is identified, streetlights glow brightest; otherwise, they remain in the dim mode. This technique adjusts street light lighting by employing a sensor that uses the least amount of electrical energy possible. At night, when an object is identified, streetlights glow brightest; otherwise, they remain in the dim mode. The real- time updates of street processing are visualised and changes are notified through the usage of the Internet of Things (IOT). This will lower carbon dioxide emissions, power usage, heat emissions, and maintenance and replacement expenses. Via the internet, one can access real-time street light
information (ON/OFF Status) from any location at any time. It guarantees outstanding long-term stability and high dependability. Automated systems are more efficient than manual processes. These gadgets can also be reprogrammed to suit our needs.
Keywords: Microcontroller (CC3200), IR Sensor, LDR sensor, bylnk application, LED
[This article belongs to International Journal of Solid State Innovations & Research(ijssir)]
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References
1. Mishra S, Gupta S, Singh S, Tiwari T, Mohan A. Arduino based led street light auto intensity control system. Int. J. Adv. Res. Eng. Technol. Sci. 2016 Apr;3(4):73-7.
2. Nagamani S, Reddy JM, Lavanya G, Chandana AL. Smart Street light management system using internet of things. In2019 International Conference on Intelligent Computing and Control Systems (ICCS) 2019 May 15 (pp. 103-107). IEEE.
3. Dheena PF, Raj GS, Dutt G, Jinny SV. IOT based smart street light management system. In 2017 IEEE international conference on circuits and systems (ICCS) 2017 Dec 20 (pp. 368-371). IEEE.
4. Biswal AK, Singh D, Pattanayak BK. IoT-based voice-controlled energy-efficient intelligent traffic and street light monitoring system. InGreen Technology for Smart City and Society: Proceedings of GTSCS 2020 2021 (pp. 43-54). Springer Singapore.
5. Yusoff ZM, Muhammad Z, Razi MM, Razali NF, Hashim MH. IOT-Based smart street lighting enhances energy conservation. Indonesian Journal of Electrical Engineering and Computer Science. 2020 Oct;20(1):528.
6. Bhavadeesh R, Kumar PT, Srinivas D, Krishnaveni R. IoT based smart street lighting system for smart city. In2021 5th International Conference on Information Systems and Computer Networks (ISCON) 2021 Oct 22 (pp. 1-3). IEEE.
7. Raju Anitha MN, Akhila K, Anusha KS, Lekha GS. IOT based smart and flexible lighting in streets. International Journal of Engineering and technology. 2018.
8. Kodali R, Yerroju S. Energy efficient smart street light. In2017 3rd International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT) 2017 Dec 21 (pp. 190-193). IEEE.
9. Parkash PV, Rajendra D. Internet of things based intelligent street lighting system for smart city. International journal of innovative research in science, engineering and technology. 2016 May; 5 (5).
| Volume | 01 |
| Issue | 01 |
| Received | August 16, 2023 |
| Accepted | October 18, 2023 |
| Published | March 13, 2024 |