Cloud-based energy efficient smart street lighting system

Muhammad Umar; Sajid Habib Gill; Riaz Ahmad Shaikh; Muhammad Rizwan

doi:10.17485/IJST/v13i23.636

Article

Cloud-based energy efficient smart street lighting system

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Indian Journal of Science and Technology

DOI: 10.17485/IJST/v13i23.636

Year: 2020, Volume: 13, Issue: 23, Pages: 2311-2318

Original Article

Cloud-based energy efficient smart street lighting system

Muhammad Umar¹, Sajid Habib Gill^1*, Riaz Ahmad Shaikh², Muhammad Rizwan³

¹Ph.D. Scholar, Department of Computer Science, Shah Abdul Latif University, Khairpur, 66020, Sindh, Pakistan. Tel.: +92-313-6789357
²Associate Professor, Department of Computer Science, Shah Abdul Latif University, Khairpur, 66020, Sindh, Pakistan
³Department of Computer Science, MTB College, Sadiqabad, 64350, Punjab, Pakistan

^*Corresponding author
Sajid Habib Gill
Ph.D. Scholar, Department of Computer Science, Shah Abdul Latif University, Khairpur, 66020, Sindh, Pakistan.
Tel.: +92-313-6789357
email: [email protected]

Received Date:17 May 2020, Accepted Date:21 June 2020, Published Date:04 July 2020

This work is licensed under a Creative Commons Attribution 4.0 International License.

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

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Copyright

© 2020 Umar, Gill, Shaikh, Rizwan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Published By Indian Society for Education and Environment (iSee)