IoT-Based Smart Bin Sensors for Efficient Landfill Management and Sustainable Disposal

The swift progress of technology has resulted in a exponential usage of E-waste (Landfill), posing significant environmental and health risks due to improper disposal methods. Traditional waste management systems are often inefficient, leading to the accumulation of hazardous materials in landfills. This paper introduces a novel solution leveraging Internet of Things (IoT) technology to address these challenges through the deployment of smart bin sensors designed specifically for landfill management.The proposed system integrates IOT-enabled sensors in waste bins to monitor fill levels, categorize types of landfill, and optimize collection schedules. These sensors communicate real-time data to a centralized platform, enabling efficient resource allocation and reducing the environmental impact of landfill. Additionally, the system incorporates machine learning algorithms to predict waste generation patterns, further enhancing operational efficiency.By implementing IOT-based smart bins, this solution aims to improve the sustainability of landfill disposal practices, reduce costs associated with waste management, and promote environmental conservation. The results from pilot projects demonstrate a significant improvement in the accuracy of waste segregation, timely collection, and overall system efficiency, underscoring the potential of IOT technologies in revolutionizing landfill management.

Authors

Publication Details

Journal
Nanotechnology Perceptions
Published
2024-11-04
DOI
https://doi.org/10.62441/nano-ntp.vi.3009
Citations
1
Primary Topic
Mobile Crowdsensing and Crowdsourcing
Type
article
Field-Weighted Citation Impact
0.41
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article

IoT-Based Smart Bin Sensors for Efficient Landfill Management and Sustainable Disposal

Ashutosh Srivastava, R Ushasree, Garima Sinha, Isha pandey
1 citations
Nanotechnology Perceptions
Mobile Crowdsensing and Crowdsourcing
0.41
article

IoT-Based Smart Bin Sensors for Efficient Landfill Management and Sustainable Disposal

Ashutosh Srivastava, R Ushasree, Garima Sinha, Isha pandey
article en
1 citations

Abstract

The swift progress of technology has resulted in a exponential usage of E-waste (Landfill), posing significant environmental and health risks due to improper disposal methods. Traditional waste management systems are often inefficient, leading to the accumulation of hazardous materials in landfills. This paper introduces a novel solution leveraging Internet of Things (IoT) technology to address these challenges through the deployment of smart bin sensors designed specifically for landfill management.The proposed system integrates IOT-enabled sensors in waste bins to monitor fill levels, categorize types of landfill, and optimize collection schedules. These sensors communicate real-time data to a centralized platform, enabling efficient resource allocation and reducing the environmental impact of landfill. Additionally, the system incorporates machine learning algorithms to predict waste generation patterns, further enhancing operational efficiency.By implementing IOT-based smart bins, this solution aims to improve the sustainability of landfill disposal practices, reduce costs associated with waste management, and promote environmental conservation. The results from pilot projects demonstrate a significant improvement in the accuracy of waste segregation, timely collection, and overall system efficiency, underscoring the potential of IOT technologies in revolutionizing landfill management.

Nanotechnology Perceptions
Responsible consumption and production
Openalex Percentile: Top 25%
Mobile Crowdsensing and Crowdsourcing
0.41
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