Saving energy is the foremost concern in this present scenario of the modern world. The conventional method of manual or timer- controlled switching for public lighting often results in energy wastage, as lights remain on even during the day due to various reason like negligence of the lineman and without having the proper power consumption record and manual fault detection leads to addition in the maintenance cost and increases the downtime of the faulty lights. Also, at times streetlights are not powered on even though there is a lack of ambient light conditions. This leads to safety concerns for the citizens and residents of a particular place. So, to tackle these problems there was a need to build a system based on IoT that can dynamically adjust illumination based on real-time conditions, and also provide a record of energy consumption and location of faulty lights as well as predict the faults. This leads to lower operating costs and quicker identification of defective locations, reducing downtime.
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Dongardive et al. (2024) studied this question.
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