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Introduction:

Edge computing has emerged as a promising technology that brings computation and data storage closer to the location where it is needed, reducing latency and improving overall system performance. In recent years, augmented reality (AR) gaming has gained popularity as a new and immersive way of interacting with digital content. However, the resource-intensive nature of AR applications poses challenges for traditional cloud-based computing architectures, as the latency introduced by sending data back and forth to a remote server can degrade the user experience.

This thesis explores the potential of edge computing to enhance the performance of augmented reality gaming applications. By leveraging edge resources such as edge servers and edge devices, developers can offload computation and data processing tasks closer to the end-user, reducing latency and improving the overall gaming experience. This research aims to investigate the benefits and challenges of implementing edge computing for augmented reality gaming, and to propose new strategies and techniques to optimize performance and scalability.

Table of Contents:

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitations 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 Introduction to Edge Computing
2.2 Augmented Reality Gaming
2.3 Edge Computing for Augmented Reality
2.4 Benefits of Edge Computing for AR Gaming
2.5 Challenges of Edge Computing for AR Gaming
2.6 Edge Computing Architectures
2.7 Edge Computing Technologies
2.8 Edge Computing Applications in Gaming
2.9 Augmented Reality Gaming Platforms
2.10 Future Trends in Edge Computing for AR Gaming

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Sampling Techniques
3.5 Experimental Design
3.6 Ethical Considerations
3.7 Validation and Reliability
3.8 Limitations of Methodology

Chapter 4: Discussion of Findings
4.1 Evaluation of Edge Computing for AR Gaming
4.2 Performance Metrics
4.3 Comparative Analysis
4.4 Optimization Strategies
4.5 Scalability and Flexibility
4.6 User Experience
4.7 Security and Privacy
4.8 Cost Considerations

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusions
5.3 Recommendations for Future Research
5.4 Implications for Industry
5.5 Final Thoughts

Thesis Overview:

Edge computing has become increasingly important in the realm of augmented reality (AR) gaming, as developers seek to enhance the performance and user experience of their applications. By bringing computation and data storage closer to the edge of the network, edge computing can reduce latency and improve overall system performance. This thesis aims to explore the potential of edge computing for AR gaming, investigating the benefits and challenges of implementing this technology and proposing strategies to optimize performance and scalability.

The literature review will provide an overview of edge computing and AR gaming, exploring the current state of the art and identifying opportunities for improvement. The research methodology will outline the approach taken in this study, including data collection methods, analysis techniques, and ethical considerations. The discussion of findings will evaluate the performance of edge computing for AR gaming, analyzing key metrics and identifying optimization strategies.

In conclusion, this thesis will summarize the key findings and recommendations for future research in the field of edge computing for AR gaming. By leveraging edge resources and optimizing system performance, developers can create more immersive and engaging gaming experiences for users.

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