Distributed Databases Final Year Projects with Source Code

Byadmin Final Year Projects

Distributed Databases Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Distributed Databases 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.

Distributed Databases Final Year Projects

  1. Distributed Split Computing System in Cooperative Internet of Things IoT
    This project focuses on improving how IoT devices work together to process data. Instead of sending all tasks to the cloud, nearby IoT devices share the computing work. The system decides which devices should help based on energy use and speed. This approach reduces energy consumption by over 20% while ensuring tasks finish on time.
  2. Event Detection Through Differential Pattern Mining in Cyber-Physical Systems
    This project focuses on finding important events in sensor networks, like detecting damage in buildings or vehicles. It creates a system called DPminer that analyzes sensor data efficiently. The system looks for meaningful patterns across sensors while using less communication and computation. Tests show it detects events better than traditional methods.
  3. PSDS–Proficient Security Over Distributed Storage A Method for Data Transmission in Cloud
    This project focuses on keeping data safe when stored in the cloud. It introduces a method called PSDS, which separates sensitive and normal data. Sensitive data is split, encrypted, and stored across multiple clouds, while normal data is stored in a single cloud. Tests show that PSDS protects against various cyberattacks and is faster than older encryption methods.
  4. Distributed Intermittent Fault Diagnosis in Wireless Sensor Network Using Likelihood Ratio Test
    This project focuses on detecting faulty sensor nodes in wireless sensor networks. Traditional methods are slow or complex, so the authors propose a faster method called a likelihood ratio test (LRT). It checks sensor data over time and decides if a node is faulty. Tests show it detects faults accurately with almost no false alarms.
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Distributed Databases Project Synopsis & Presentation

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Distributed Databases Project Thesis Writing

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