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Introduction

In recent years, the concept of Edge computing has gained significant attention in the field of smart waste management. The increasing volume of waste generated by urban areas has posed numerous challenges in terms of collection, transportation, and disposal. Traditional waste management systems are often inefficient and costly, leading to environmental and health hazards. By leveraging Edge computing technologies, smart waste management systems can optimize the collection and disposal of waste, leading to a more sustainable and efficient process.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter Two: Literature Review
– Overview of waste management systems
– Introduction to Edge computing
– Applications of Edge computing in waste management
– Challenges and opportunities of implementing Edge computing in waste management
– Case studies of successful implementation of Edge computing in waste management

Chapter Three: System Design and Methodology
– Research framework
– Data collection methods
– Selection of Edge computing technologies
– System architecture design
– Implementation plan
– Evaluation methodology
– Ethical considerations
– Risk management plan

Chapter Four: System Implementation
– Installation of Edge computing infrastructure
– Integration of sensors and IoT devices
– Data collection and analysis
– Optimization of waste collection routes
– Real-time monitoring and control of waste management processes
– Performance evaluation
– System maintenance and updates

Chapter Five: Conclusion and Summary
– Recap of key findings
– Discussion on the significance of the study
– Recommendations for future research
– Conclusion and implications for practice
– Summary of contributions to the field of smart waste management.

Thesis Overview on Edge computing for smart waste management

The management of waste has become a critical issue in urban areas due to the increasing volume of waste generated and the challenges associated with traditional waste management systems. In recent years, Edge computing has emerged as a promising technology that can revolutionize the way waste is managed. This thesis aims to explore the potential of Edge computing in enhancing smart waste management systems.

The introduction provides an overview of the research background, problem statement, objectives, limitations, scope, significance, and structure of the thesis. Chapter Two presents a comprehensive literature review on waste management systems, Edge computing, applications in waste management, challenges, opportunities, and case studies. Chapter Three outlines the system design and methodology, including the research framework, data collection methods, selection of technologies, architecture design, implementation plan, evaluation methodology, ethical considerations, and risk management.

Chapter Four focuses on the system implementation, covering the installation of Edge computing infrastructure, integration of sensors and IoT devices, data collection, analysis, optimization of waste collection routes, monitoring, and control. The chapter also discusses performance evaluation, system maintenance, and updates. Finally, Chapter Five presents the conclusion and summary of the thesis, including key findings, discussions, recommendations, implications for practice, contributions to the field, and suggestions for future research.

Overall, this thesis aims to contribute to the body of knowledge on Edge computing for smart waste management and provide insights into the potential benefits and challenges of implementing such systems. By leveraging Edge computing technologies, cities can optimize waste collection, reduce costs, minimize environmental impact, and improve overall efficiency in waste management processes.

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