Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Smart Waste Management for a Sustainable Future

Smart Waste Management for a Sustainable Future

Kumar, Jogendra

Paperback

Business General

ISBN10: 3659830232
ISBN13: 9783659830235
Publisher: LAP Lambert Academic Publishing
Published: Nov 13 2024
Pages: 208
Weight: 0.69
Height: 0.48 Width: 6.00 Depth: 9.00
Language: English
Machine Learning (ML), the Internet of Things (IoT), and Wireless Sensor Networks (WSNs) are transforming waste management, making it more efficient and sustainable. ML analyzes data from waste systems to predict trends and optimize decision-making. For instance, ML algorithms forecast waste generation patterns, helping authorities adjust collection schedules and lower operational costs. Predictive analytics also identify inefficiencies, enabling targeted interventions in underperforming areas.IoT enhances waste management by allowing real-time monitoring of waste bins and containers via sensors that measure fill levels, temperature, and other environmental factors. Paired with WSNs, these sensors provide continuous data streams that help trigger immediate responses to overflowing bins or hazardous materials. IoT-based systems can also track waste vehicle movements, optimizing routes and reducing fuel consumption.WSNs further integrate these sensors and devices into a connected network, improving communication across the waste management infrastructure. This enables a faster, dynamic response to issues such as bin overflows and system malfunctions.

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