International Journal on Science and Technology

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IoT Based Smart Waste Management

Author(s) M. Renuga devi, Mr.K.Srinath Yadav, Kavitharani C, Mathumidha R, Keerthiha B, Ponsigasri S
Country India
Abstract This study aims to develop an Internet of Things (IoT)-enabled Smart Waste Management System that will make urban waste collection and disposal more efficient, sustainable, and automated. The system combines microcontrollers with sensors — ultrasonic sensors to measure bin fill levels, gas sensors to trace toxic gases, and GPS modules to locate the exact position of waste bins. By sending instantaneous information to an IoT cloud platform, the system allows municipal authorities to track the status of waste bins remotely and dynamically schedule collection operations, as opposed to operating on pre-fixed time intervals. This dynamic approach eliminates wasteful trips, saves fuel, reduces costs, and improves manpower efficiency.
Alongside real-time surveillance, the system raises an alert when waste receptacles fill up or when toxic gas levels exceed safety limits, facilitating timely collection and avoiding health risks. The information collected is uploaded, analysed, and stored to unveil patterns of waste generation, forecast maintenance requirements, and facilitate enhanced strategic planning for municipal waste collection. Via smart data analytics and cloud-driven visualization, planners and decision-makers can pinpoint areas of high demand and streamline collection routes.
Overall, this Smart Waste Management System based on IoT helps build cleaner and greener cities by avoiding pollution, improving operating efficiency, and ensuring public health and environmental sanitation. The system illustrates how incorporating IoT technology in conventional waste management systems can make them smart, automatic, and eco-friendly solutions for urban infrastructure in the contemporary era.
Keywords Internet of Things (IoT), Smart Waste Management, Real-Time Monitoring, Ultrasonic Sensors, Cloud Computing, GPS Tracking, Sustainability.
Field Computer Applications
Published In Volume 17, Issue 1, January-March 2026
Published On 2026-03-27
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