[ad_1]

Introduction

In the fast-paced world of smart cities, waste management is a crucial aspect that requires innovative solutions to ensure efficient and sustainable practices. One emerging technology that holds great promise in this regard is edge computing. Edge computing refers to the decentralized processing of data at the edge of the network, closer to the source of data generation. By leveraging edge computing technologies, smart city waste management systems can enhance real-time monitoring, decision-making, and resource optimization, leading to improved efficiency and cost-effectiveness.

This thesis aims to explore the potential of edge computing in enhancing smart city waste management practices. By examining the current state of waste management in smart cities, identifying key challenges, and proposing innovative solutions enabled by edge computing, this research seeks to contribute to the advancement of sustainable waste management practices in urban environments.

Chapter 1: Introduction
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 2: Literature Review
2.1 Overview of smart city waste management
2.2 Edge computing technologies in the context of waste management
2.3 IoT applications in waste management
2.4 Big data analytics for waste management
2.5 Integration of AI and machine learning in waste management
2.6 Case studies of edge computing in waste management
2.7 Benefits and challenges of edge computing in waste management
2.8 Regulatory and ethical considerations in smart city waste management
2.9 Future trends in smart city waste management
2.10 Gaps in existing literature

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Data analysis techniques
3.4 Sampling strategy
3.5 Ethical considerations
3.6 Pilot study
3.7 Questionnaire design
3.8 Interview protocols

Chapter 4: Discussion of Findings
4.1 Analysis of data
4.2 Comparison of results with existing literature
4.3 Implications for smart city waste management
4.4 Recommendations for future research
4.5 Practical implications for waste management stakeholders
4.6 Limitations of the study
4.7 Areas for further exploration

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contribution to knowledge
5.3 Practical implications
5.4 Recommendations for policymakers and practitioners
5.5 Conclusion

Thesis Overview on Edge Computing for Smart City Waste Management

In recent years, the concept of smart cities has gained significant traction as urban areas around the world strive to become more efficient, sustainable, and livable. Waste management is a critical aspect of smart city development, as the growing urban population generates a considerable amount of waste that needs to be managed effectively. Traditional waste management systems often face challenges such as lack of real-time data, inefficient resource allocation, and high operational costs. Edge computing, with its ability to process data closer to the source, holds great potential in addressing these challenges and revolutionizing smart city waste management practices.

This thesis aims to explore the intersection of edge computing and smart city waste management, highlighting the opportunities, challenges, and implications of leveraging edge computing technologies in the waste management sector. By conducting a comprehensive literature review, analyzing case studies, and proposing innovative solutions, this research seeks to contribute to the growing body of knowledge on sustainable waste management practices in smart cities. Through an in-depth examination of the current state of waste management, the role of edge computing technologies, and the potential for future developments, this thesis aims to provide valuable insights for policymakers, practitioners, and researchers in the field of smart city development.

[ad_2]

---

Purchase Detail

Download the complete project materials to this project with Abstract, Chapters 1 – 5, References and Appendix (Questionaire, Charts, etc), Click Here to place an order via whatsapp. Got question or enquiry; Click here to chat us up via Whatsapp.
You can also call 08111770269 or +2348059541956 to place an order or use the whatsapp button below to chat us up.
Bank details are stated below.

Bank: UBA
Account No: 1021412898
Account Name: Starnet Innovations Limited

The Blazingprojects Mobile App

Download and install the Blazingprojects Mobile App from Google Play to enjoy over 50,000 project topics and materials from 73 departments, completely offline (no internet needed) with monthly update to topics, click here to install.