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Introduction:

The advent of the Internet of Things (IoT) has revolutionized the way smart systems operate and communicate with each other. One such application of IoT is in smart parking systems, where sensors and devices are used to manage and optimize parking spaces in urban areas. However, the traditional cloud-based architecture used in these systems can lead to latency and reliability issues, especially in high-density parking areas. Edge computing offers a solution to these challenges by bringing computation closer to the data source, reducing latency and improving system reliability. This thesis explores the implementation of edge computing in smart parking systems to enhance their efficiency and performance.

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 parking systems
2.2 Edge computing in IoT
2.3 Applications of edge computing in smart parking systems
2.4 Benefits of edge computing in smart parking systems
2.5 Challenges of implementing edge computing in smart parking systems
2.6 Existing research on edge computing for smart parking systems
2.7 Comparison of cloud-based and edge-based smart parking systems
2.8 Future trends in edge computing for smart parking systems
2.9 Summary of key findings

Chapter 3: Research Methodology
3.1 Research design
3.2 Data collection methods
3.3 Sample selection
3.4 Data analysis techniques
3.5 Development of edge computing model for smart parking systems
3.6 Simulation techniques
3.7 Evaluation metrics
3.8 Ethical considerations

Chapter 4: Discussion of Findings
4.1 Implementation of edge computing in smart parking systems
4.2 Performance evaluation of edge-based smart parking systems
4.3 Comparison with cloud-based smart parking systems
4.4 Impact of edge computing on system efficiency
4.5 User feedback and satisfaction
4.6 Scalability and flexibility of edge-based smart parking systems
4.7 Cost-benefit analysis
4.8 Recommendations for future research

Chapter 5: Conclusion and Summary
5.1 Summary of key findings
5.2 Contributions to the field
5.3 Practical implications
5.4 Limitations of the study
5.5 Future research directions
5.6 Conclusion

Thesis Overview on Edge Computing for Smart Parking Systems:

The use of edge computing in smart parking systems has gained significant attention in recent years due to its potential to improve system efficiency and performance. This thesis aims to explore the implementation of edge computing in smart parking systems, focusing on reducing latency and enhancing reliability. The research will involve a comprehensive literature review to understand the current state of edge computing in IoT applications and smart parking systems. A detailed research methodology will be developed to design and evaluate an edge-based smart parking system. The findings of the study will be discussed, focusing on the impact of edge computing on system efficiency, user satisfaction, and scalability. The thesis will conclude with recommendations for future research and practical implications for the implementation of edge computing in smart parking systems.

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