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Abstract
Background/Objectives: Pakistan is experiencing significant energy crises for the last two decades. The increasing power demand cannot be controlled with traditional energy techniques. The conventional street lighting system remains ON all over the night. Consequently, a huge amount of energy is wasted. To overcome the shortage of energy, an efficient smart lighting system is proposed. Methods: The prime thought to accomplish is ``Energy on-demand\'\' i.e. handed-in wherever, whenever required. To achieve this goal, the cloudbased smart street lighting system provides a feasible solution. The proposed system uses an Arduino and its various shields based on a movement-based actuation system like Light Detection and Ranging (LiDAR), automate the street lighting system. This design is executed and implemented on a one-way road and its results are carried out at three different scenario cases. The analysis is done by a decision-making module that obtains results from the sensor (LiDAR). Findings: The availability of low cost advanced devices like LiDAR, Arduino, cloud storage, and the accessibility of wired and wireless connection, smart street lighting system becomes a reality. The proposed system is beneficial to overcome the CO2 emission. Further, it will also be helpful to avoid the unnecessary consumption of streetlight as well as to reduce power utilization and save energy up to 99%. Applications: This proposed framework has an immense potential to revolutionize street lighting and to achieve the demand for a smart street lighting system that is easy to maintain, durable, and reliable. Keywords: IoT; cloud; LiDAR; street lighting system; Arduino
Highlights
Street lighting is one of the key facilities that are given in any smart city
Arduino will consume the energy as 0.000697 Watts which is equivalent to 6.97 ∗ 10 − 7KWh
The consumption of Light Detection and Ranging (LiDAR) is as 0.00125 KWh
Summary
Street lighting is one of the key facilities that are given in any smart city. The unnecessary consumption of street lighting directly influences the economic standard of the developing country. The major problem of street lighting is power consumption. The reduction of this energy utilization is not easy. Along with the help of different computing mechanisms, this power utilization could be lessened[1]. Street lighting plays a significant role in the contribution of pedestrian and traffic safety. The current lighting system uses traditional techniques and requires manual intervention. It leads to the wastage of electricity as well as manpower[2]
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