IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System.

Authors

  • A.T.M. Mustafa Masud Chowdhury Department of Computer Science and Engineering, Southern University of Bangladesh.
  • Md. Sakib Ullah Sourav Department of Management Science and Engineering, Shandong University of Finance and Economics, China.

DOI:

https://doi.org/10.60044/ijie.v1i1.10

Keywords:

Energy Efficiency, IoT, Streetlight Monitoring, Streetlight Controlling

Abstract

The challenge of meeting the escalating electricity demand has emerged as a significant concern for all nations, particularly for developing countries such as Bangladesh. Inadequate streetlight management in Bangladesh results in significant electricity wastage, causing substantial annual financial losses. Numerous significant endeavors have been undertaken by researchers across the globe to address this matter through the utilization of the Internet of Things (IoT), albeit with limited representation from Bangladesh. This study presents a proficient integrated streetlight framework that utilizes IoT technology to enable cloud-based monitoring and control. The system incorporates light dimming capabilities that respond to external lighting conditions and traffic detection, as well as a fault detection system to promote low power and electricity consumption. Data from Dhaka North and South City Corporation, Narayanganj City Corporation, and Chattogram City Corporation were analyzed to evaluate the efficacy of our proposed model. Our findings indicate that the proposed model can achieve a reduction in energy cost of approximately 60% compared to the existing system. This highly advanced and optimized system can be deployed in key urban centers throughout Bangladesh as a component of a smart city initiative, with excess electrical power being harnessed for residential and critical applications.

 

Author Biographies

A.T.M. Mustafa Masud Chowdhury, Department of Computer Science and Engineering, Southern University of Bangladesh.

A.T.M. Mustafa Masud Chowdhury is a B.sc student in the Department of Computer Science and Engineering at the Southern University of Bangladesh. He has been engaged in diverse academic research domains since 2020 I am an early-stage researcher, and I am an active member of programming problem solve and computer club besides research and guiding B.Sc final year students of my department for comparative research. My areas of interest are Artificial Intelligence, Machine Learning, and IoT Solutions. With a background in computational intelligence and engineering design, A.T.M. has developed a unique perspective to understand the need for a robust engineering education system in society. .His contact email address: mustafamasudcse@gmail.com

 

Md. Sakib Ullah Sourav, Department of Management Science and Engineering, Shandong University of Finance and Economics, China.

Md Sakib Ullah Sourav is a master's student in the Department of Management Science and Engineering at the Shandong University of Finance and Economics, China. He has been engaged in diverse academic research domains since 2017 and mostly interested in image processing, machine learning, and within various aspects of engineering education. With a background in computational intelligence and engineering design, Sakib has developed a unique perspective to understand the need for a robust engineering education system in society.His contact email address: sakibsourav@outlook.com

 

Published

2023-05-28

How to Cite

Chowdhury, A. M. M., & Sourav, M. S. U. (2023). IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System. International Journal of Innovative Engineering (IJIE), 1(1), 29–42. https://doi.org/10.60044/ijie.v1i1.10