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Related Experiment Video

Updated: May 31, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Empowering drones in vehicular network through fog computing and blockchain technology.

Shivani Wadhwa1, Divya Gupta2, Shalli Rani1

  • 1Institute of Engineering and Technology, Chitkara University, Punjab, India.

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This study introduces a secure drone network architecture integrating fog computing and blockchain for efficient IoT data processing. The proposed model enhances drone performance and reduces response times for time-sensitive tasks.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Cybersecurity

Background:

  • Drones require efficient computation for time-sensitive tasks, but limited battery life necessitates energy-efficient systems.
  • Existing drone network architectures lack comprehensive security and real-time processing capabilities for automated operations.
  • Fog computing offers localized computational resources for drones, improving service response times.

Purpose of the Study:

  • To propose a secure, reliable, and real-time drone network service architecture.
  • To enhance drone operations through collaboration with fog computing and blockchain technology.
  • To address the need for secure and efficient drone network service architectures.

Main Methods:

  • Developed a Fog computing for the Drone with Blockchain Technology (FCDBT) model.
  • Integrated blockchain for secure IoT data storage and processing.
  • Implemented dynamic drone trajectory planning and optimized computation offloading algorithms.
  • Evaluated blockchain consensus algorithms (PoW, PoS, DAG).

Main Results:

  • The proposed architecture significantly reduced average response latency.
  • Improved throughput was observed, especially when utilizing fog node resources.
  • The Directed Acyclic Graph (DAG) consensus algorithm demonstrated superior performance for IoT data handling.

Conclusions:

  • The FCDBT model provides a safe, reliable, and real-time solution for drone network services.
  • Blockchain integration ensures secure data storage and processing in drone-fog environments.
  • The proposed architecture effectively optimizes drone performance for IoT applications.