IoT-based Efficient Streetlight Controlling, Monitoring and Real-time Error Detection System in Major Bangladeshi Cities

TL;DR

This paper presents an IoT-based streetlight management system in Bangladeshi cities that reduces energy consumption by up to 60% through cloud monitoring, adaptive control, and fault detection.

Contribution

It introduces a novel integrated IoT framework tailored for Bangladeshi urban areas, combining energy-efficient control, real-time monitoring, and fault detection.

Findings

Energy cost reduced by approximately 60%

Effective real-time fault detection implemented

Adaptive lighting based on external conditions

Abstract

A huge wastage of electricity can be seen in Bangladesh due to improper street light management which leads to an enormous financial loss every year. Many noteworthy works have been done by researchers from different parts of the world in tackling this issue by using the Internet of Things yet very few in Bangladeshi perspective. In this work, we propose an efficient Internet of Things-based integrated streetlight framework that offers cloud-powered monitoring, controlling through light dimming as per external lighting conditions and traffic detection, as well as a fault-detecting system to ensure low power and electricity consumption. We analyzed data from Dhaka North and South City Corporation, Narayanganj City Corporation, and Chattogram City Corporation where our proposed model demonstrates a reduction in energy cost of up to approximately 60 percent more than that of the existing system.