Weather Adaptive Intelligent Street Lighting System With Automatic Fault Management Using Boltuino Platform

Saha, Dipanjan; Sorif, Sk Mahammad; Dutta, Pallav

doi:10.1109/iciss53185.2021.9533234

Cited by 16 publications

(1 citation statement)

References 12 publications

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“…Research by Zainal et al [24], assess the performance of LoRa radio networks under the shadowing effect and a realistic distribution of smart city utility nodes to gain a better understanding of such LoRa technologies. A weather-friendly streetlight control and maintenance system is implemented with the Boltuino (Bolt IoT+Arduino) platform, which combines LDR with an energy-saving LED to adjust light intensity [25]. Developing an ethernet system for communication between a public street Bulletin of Electr Eng & Inf ISSN: 2302-9285  lighting system with integrated control and monitoring based on the IoT, including sensors such as the PZEM-004T and LDR, as well as an Arduino Mega 2560 microprocessor system, relays, and a software graphical user interface (GUI) [26].…”

Section: State Of Artmentioning

confidence: 99%

Long range and server inspired internet of smart street lights

Singh

Krishna²,

Kumar³

et al. 2023

Bulletin EEI

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Currently, the integration of long-range (LoRa) and the internet of things (IoT) has been widely adopted in various applications for real-time monitoring with reliability. These technologies empower us to achieve the goal of the United Nations for the establishment of an inclusive, safe, resilient, and sustainable environment. The automation, monitoring, and controlling of streetlights is a necessary task for the development of smart infrastructure. With the motivation from the above, this study proposed a LoRa and IoT server-based architecture for automation and controlling of streetlights along with sensors. To implement the proposed architecture, the hardware of the sensor node and gateway based on ATMega 328P, 433 MHz LoRa module, and Wi-Fi module is realized. The realized hardware is deployed in the real-time environment and the sensor node can sense the motion of the object and also records the intensity value on the server through internet connectivity.

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Section: State Of Artmentioning

confidence: 99%