Edge Computing Final Year Projects with Source Code

Byadmin Final Year Projects

Edge Computing Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Edge Computing projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Edge Computing Final Year Projects

  1. A Lightweight Network Deployed on ARM Devices for Hand Gesture Recognition
    This project develops a lightweight system to recognize hand gestures. The system, called LHGR-Net, works on small devices like a Raspberry Pi. It can detect gestures in real time and use them to control home appliances. The method uses less memory but still performs almost as well as advanced models.
  2. Blockchain Based Dynamic Spectrum Access of Non Real Time Data in Cyber Physical Social Systems
    This project focuses on sharing wireless spectrum efficiently in systems where devices, humans, and computers interact. It uses blockchain to manage access to unused spectrum channels, making the process fair and secure. Users can earn access rights through mining and can trade them if not needed. The system also supports faster data processing at the network edge for non-urgent data.
  3. A Cloud Fog Edge Closed Loop Feedback Security Risk Prediction Method
    This project focuses on predicting security risks in smart power systems. It uses a combination of cloud, fog, and edge computing to detect complex attacks. The system can work with different devices and other safety equipment. Experiments show it performs better than traditional methods.
  4. Chaotic-Map Based Encryption for 3D Point and 3D Mesh Fog Data in Edge Computing
    This project focuses on protecting sensitive 3D data stored in fog computing systems. It uses a special method based on chaotic behavior to encrypt the data, making it very hard for attackers to access. The system is tested to show strong resistance against common attacks and performs better than previous methods. Overall, it ensures safer storage and privacy of critical 3D information in fog environments.
  5. Edge Technologies for Disaster Management A Survey of Social Media and Artificial Intelligence Integration
    This project reviews how smart devices and modern technologies help manage disasters in cities. It focuses on tools like social media analytics and artificial intelligence to collect and analyze data from emergencies. The study explains how these technologies can predict, detect, and respond to disasters effectively. It also summarizes recent research and highlights future challenges in emergency management systems.
  6. A Sensing Communication and Computing Approach for Vulnerable Road Users Safety
    This project focuses on making city roads safer for pedestrians and cyclists. It uses smart sensors in vehicles, on the road, and on devices like smartphones to detect possible accidents. The system predicts collisions early and warns both drivers and vulnerable road users. Tests show it works accurately and quickly, especially when using advanced networks like 5G and edge computing.
  7. Challenges and Solutions for Service Continuity in Inter-PLMN Handover for Vehicular Applications
    This project focuses on improving mobile network connectivity for connected and automated vehicles. It addresses problems that occur when vehicles switch between network cells or different networks, which can cause service interruptions. The work proposes solutions like using dual modems, adaptive video streaming, and special servers to maintain reliable connections. Tests on 5G networks show these solutions help, but current networks still need improvements for fully reliable vehicle communication.
  8. FC-PA Fog Computing-Based Pseudonym Authentication Scheme in 5G-Enabled Vehicular Networks
    This project focuses on making vehicle communication in 5G networks safer and faster. It introduces a fog computing-based method to verify vehicle identities using a simpler cryptography operation. The approach protects privacy, prevents common security attacks, and works more efficiently than existing methods. It balances security and performance for intelligent transportation systems.
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At Final Year Projects, we provide complete guidance for Edge Computing IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

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Edge Computing Project Synopsis & Presentation

Final Year Projects helps prepare Edge Computing project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. We provide PPT slides, tutorials, and full documentation for presentations.

Edge Computing Project Thesis Writing

Final Year Projects provides thesis writing services for Edge Computing projects. We help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.

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