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Introduction

Augmented reality (AR) applications have gained popularity in recent years due to their ability to overlay digital information onto the physical world, creating immersive and interactive user experiences. However, the processing and rendering of AR content require significant computational resources, often leading to latency issues and decreased performance. Edge computing has emerged as a promising solution to address these challenges by bringing computation and storage closer to the edge of the network, reducing latency and improving overall system efficiency.

This thesis explores the potential of edge computing for enhancing the performance of AR applications. By offloading computational tasks to edge servers located closer to the end-users, we aim to reduce latency and improve the overall user experience. This research will investigate the impact of edge computing on AR applications, considering factors such as network bandwidth, processing power, and latency requirements.

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 Augmented Reality
2.2 Edge Computing in Augmented Reality
2.3 Performance Challenges in AR Applications
2.4 Edge Computing Technologies
2.5 Edge Computing Architectures
2.6 Edge Computing for Real-time Data Processing
2.7 Edge Computing for Mobile Applications
2.8 Edge Computing for Internet of Things
2.9 Edge Computing Security Considerations
2.10 Future Trends in Edge Computing

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Experiment Design
3.5 Simulation Tools
3.6 Case Study Selection
3.7 Participant Selection Criteria
3.8 Ethical Considerations

Chapter 4: Discussion of Findings
4.1 Performance Evaluation of Edge Computing in AR Applications
4.2 Impact of Network Bandwidth on AR Performance
4.3 Comparison of Edge Computing Architectures
4.4 User Experience with Edge-enhanced AR Applications
4.5 Cost-benefit Analysis of Edge Computing in AR
4.6 Case Study Results
4.7 Implications for Practice
4.8 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Key Findings
5.2 Contributions to Knowledge
5.3 Practical Implications
5.4 Limitations of the Study
5.5 Future Research Directions
5.6 Conclusion

Thesis Overview:

Edge computing has been identified as a promising technology for improving the performance of augmented reality (AR) applications by reducing latency and improving overall system efficiency. This thesis aims to investigate the impact of edge computing on AR applications, considering factors such as network bandwidth, processing power, and latency requirements. The study will involve a literature review on AR and edge computing, followed by a research methodology section outlining the design and implementation of experiments to evaluate the performance of edge computing in AR applications. The findings from the study will be discussed in detail, with implications for practice and recommendations for future research. In conclusion, the thesis will summarize key findings and contributions to knowledge, as well as limitations and suggestions for further research in the field of edge computing for AR applications.

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