Design and Implementation of Edge Computing Systems for Internet of Things (IoT) Applications
Table Of Contents
<p><br>Table of Contents:<br><br>
Chapter 1
: Introduction<br> 1.1 Evolution of Edge Computing in IoT<br> 1.2 Significance of Edge Computing in IoT Applications<br> 1.3 Challenges and Opportunities in Edge Computing<br> 1.4 Research Objectives and Scope<br><br>Chapter 2
: Edge Computing Architectures<br> 2.1 Fog Computing and Cloudlet Architectures<br> 2.2 Edge Device Heterogeneity and Resource Management<br> 2.3 Edge-Cloud Collaboration and Data Offloading<br> 2.4 Security and Privacy in Edge Computing<br> 2.5 Edge Analytics and Machine Learning<br> 2.6 Edge-to-Cloud Communication Protocols<br> 2.7 Energy-Efficient Edge Computing<br><br>Chapter 3
: IoT Device Integration with Edge Systems<br> 3.1 Sensor Data Acquisition and Preprocessing<br> 3.2 Edge Gateway Design and Implementation<br> 3.3 Real-time Data Processing at the Edge<br> 3.4 Edge-Enabled Actuation and Control<br> 3.5 Edge Device Management and Orchestration<br> 3.6 Edge Security and Trust Management<br> 3.7 Edge-Driven Adaptive IoT Applications<br><br>Chapter 4
: Edge Computing for IoT Applications<br> 4.1 Smart Cities and Urban IoT Systems<br> 4.2 Industrial IoT and Edge Automation<br> 4.3 Healthcare and Wearable IoT Devices<br> 4.4 Edge Computing in Smart Agriculture<br> 4.5 Edge-Enabled Intelligent Transportation Systems<br> 4.6 Edge-Assisted Augmented Reality and Virtual Reality<br> 4.7 Edge Computing for Environmental Monitoring<br><br>Chapter 5
: Performance Evaluation and Optimization<br> 5.1 Edge Computing Resource Utilization Metrics<br> 5.2 Quality of Service and Latency Optimization<br> 5.3 Edge System Reliability and Fault Tolerance<br> 5.4 Energy Efficiency and Sustainability<br> 5.5 Security and Privacy Assurance<br> 5.6 Scalability and Flexibility of Edge Systems<br> 5.7 Future Trends and Challenges in Edge Computing for IoT<br></p><p> 5.8 Conclusion </p>Thesis Abstract
<p>Abstract<br><br>This research project aims to explore the design and implementation of edge computing systems for Internet of Things (IoT) applications in the context of computer engineering. The study will investigate the evolution of edge computing in IoT, its significance, challenges, and opportunities, with a focus on developing practical architectures for edge computing. The project will delve into the integration of IoT devices with edge systems, examining real-time data processing, security, and adaptive applications. Furthermore, it will explore the application of edge computing in various domains such as smart cities, industrial automation, healthcare, and environmental monitoring. Additionally, the project will address the performance evaluation and optimization of edge systems, including resource utilization, quality of service, reliability, energy efficiency, security, and scalability. The anticipated outcomes of this research endeavor are expected to contribute to the advancement of edge computing technologies for IoT applications and provide insights into future trends and challenges in this domain.<br></p>
Thesis Overview
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