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Introduction

Edge computing has emerged as a key technology in the field of smart building management due to its ability to handle the massive amounts of data generated by IoT devices in real-time, closer to the point of data generation. This thesis explores the application of edge computing in smart building management, focusing on its advantages, challenges, and potential solutions.

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 Introduction to Edge Computing
2.2 Smart Building Management
2.3 IoT Devices in Smart Buildings
2.4 Edge Computing Architecture
2.5 Edge Computing in Smart Building Management
2.6 Benefits of Edge Computing
2.7 Challenges of Edge Computing
2.8 Edge Computing Solutions
2.9 Edge Computing Security
2.10 Edge Computing Case Studies

Chapter 3: System Design and Methodology
3.1 Introduction to System Design
3.2 Research Methodology
3.3 Data Collection Methods
3.4 System Architecture
3.5 Edge Computing Implementation
3.6 Network Infrastructure Design
3.7 Data Processing Algorithms
3.8 System Testing

Chapter 4: System Implementation
4.1 Introduction to System Implementation
4.2 Hardware and Software Requirements
4.3 Data Collection and Storage
4.4 Edge Computing Integration
4.5 System Configuration
4.6 Data Processing and Analysis
4.7 System Monitoring
4.8 System Maintenance

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Achievements of the Study
5.3 Recommendations for Future Research
5.4 Conclusion

Thesis Overview

Edge computing has revolutionized the field of smart building management by enabling real-time data processing and analysis closer to the source of data generation. This thesis explores the application of edge computing in smart building management, focusing on its benefits, challenges, and potential solutions. The literature review covers key concepts such as edge computing architecture, IoT devices in smart buildings, and edge computing security. The system design and methodology chapter discusses the research methodology, system architecture, and data processing algorithms. The system implementation chapter details the hardware and software requirements, data collection and storage methods, and system monitoring. The conclusion chapter summarizes the findings, achievements, and recommendations for future research in the field of edge computing for smart building management.

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