The document outlines the development of a smart waste management system utilizing IoT technology to address issues like waste overflow, high operational costs, and public health concerns. It details objectives such as timely waste disposal and data analysis, along with an implementation plan, budget estimation, and ongoing maintenance strategies. The integration of IoT sensors is expected to enhance efficiency, reduce costs, and promote environmental sustainability.

1. Waste Management System
Using IoT
Er. Ashma Adhikari
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2. Agenda
Background
Research and
Decision
criteria
Proposed
Solution
Design and
Budget
Estimation
Ethical,
Security,
and Best
Practices
Implementat
ion Plan and
WBS
Ongoing
Maintenance
and Future
Recommendat
ions
Conclusion
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3. 1. Introduction
• Smart Waste Management system using IoT promises to tackle the
issues associated with effective waste collection.
• Sensor placed in the bins that determine the fill level, and temperature
• Sends the real-time data to the central system
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4. Purpose of Project
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To make the
environment clean
with proper smart
waste management
To optimize the
resource allocation
Reducing costs and
increasing
sustainability

5. Problem Statement
Frequent
overflow of the
waste, high
operational cost,
and due to high-
temperature
increase in odor.
Bad impact on the
public and
businesses as they
believe that
government
bodies are unable
to manage the
waste properly
and more
effectively.
Risk of public
health concerns
which is caused
by overflowing
waste bins
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6. Objective
To ensure timely
waste disposal
Real-time data
analysis and
prevention of
pollution.
Protect the health
and well-being of
the population.
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7. 2. Research & Decision Criteria
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Summary of
Research
IoT Sensors:
Ultrasonic
sensor,
gas/temperatu
re sensor
Communicati
on protocol:
LoRa WAN
(for long-
range, low-
power)
NB-IoT: wide
coverage and
low power,
sending data
from the
sensor to the
central
system
WiFi:
connectivity,
speed data
transfer
GPS Tracking:
Vehicle tracking(
(optimize the
route)
Data
Analytics:
Cloud-based
storage for
scalable
storage

8. Selection Criteria
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Cost-effective Scalability
Easiness
Implementation
User Adoption
Security and
Compliance

9. 3. System Architecture
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10. Application Diagram
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11. Diagram & Mock-Ups
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12. 12

13. Budget Estimation
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14. 4. Ethical, Security & Best Practices
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Data privacy
laws
Access Control Environmental
Regulation
Compliance
Ethical Issues
Privacy of data
and consent
Data Accuracy
and Reliability

15. 5. Implementation Plan
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16. 16
12-May-24 22-May-24 1-Jun-24 11-Jun-24 21-Jun-24 1-Jul-24 11-Jul-24 21-Jul-24
1. Project Initiation
2. System Design
3. Procurement and Setup
4. Development
5. Testing and Quality Assurances
6. Deployment
7. Traning and Support
Gantt Chart

17. 6. Ongoing Maintenance & Future RoadMap
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Ongoing
maintenance
Regular
monitoring
and
maintenance
Technical
support staff
training
Disaster
recovery
plan
Facilities
management

18. 18
Future
recommendation
Expansion of IoT
Sensors
Integration with
Smart City
Initiatives
Enhanced Data
Analytics
User Feedback
Mechanism
Software
Development
Lifecycle

19. Conclusion
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Integration of IoT in
waste management
increases efficiency,
saves costs, and brings
environmental
sustainability.
Monitoring, as smart
sensors ensures that
scheduled collection is
done in a time-saving
process
Very fuel-efficient, hence
furthering public health
and environmental
conditions.

20. References
• DavidChukwuekem, & Akinsanya. (2024). Security paradigms for iot in telecom networks: conceptual challenges
and solution pathways. Engineering Science & Technology Journal, 1431--1451.
• Fahmi, F. I. (2023). An Intelligent Waste Management System Enabled by IoT . IJISAE.
• Hussian, D. I., Elomri, D. A., & Kerbache, D. L. (2024). Smart city solutions: Comparative analysis of waste
management models in IoT-enabled environments using multiagent simulation. Sustainable Cities and Society,
105247.
• karthik, M., Sreevidya, L., Devi, R. N., & Thangaraj, M. (2023). An efficient waste management technique with
IoT based smart garbage system. Materials Today: Proceedings, 80, 3140--3143.
doi:https://doi.org/10.1016/j.matpr.2021.07.179
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21. THANK
YOU!!!
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