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A Blockchain-Enabled Framework of UAV Coordination for Post-Disaster Networks

Sana Hafeez, Runze Cheng, Lina Mohjazi, Muhammad Ali Imran, Yao Sun

TL;DR

A consortium blockchain architecture for secure and private multi-agency coordination and an optimized consensus protocol balancing efficiency and fault tolerance using a delegated proof of stake practical Byzantine fault tolerance (DPoS-PBFT) are made.

Abstract

Emergency communication is critical but challenging after natural disasters when ground infrastructure is devastated. Unmanned aerial vehicles (UAVs) offer enormous potential for agile relief coordination in these scenarios. However, effectively leveraging UAV fleets poses additional challenges around security, privacy, and efficient collaboration across response agencies. This paper presents a robust blockchain-enabled framework to address these challenges by integrating a consortium blockchain model, smart contracts, and cryptographic techniques to securely coordinate UAV fleets for disaster response. Specifically, we make two key contributions: a consortium blockchain architecture for secure and private multi-agency coordination; and an optimized consensus protocol balancing efficiency and fault tolerance using a delegated proof of stake practical byzantine fault tolerance (DPoS-PBFT). Comprehensive simulations showcase the framework's ability to enhance transparency, automation, scalability, and cyber-attack resilience for UAV coordination in post-disaster networks.

A Blockchain-Enabled Framework of UAV Coordination for Post-Disaster Networks

TL;DR

A consortium blockchain architecture for secure and private multi-agency coordination and an optimized consensus protocol balancing efficiency and fault tolerance using a delegated proof of stake practical Byzantine fault tolerance (DPoS-PBFT) are made.

Abstract

Emergency communication is critical but challenging after natural disasters when ground infrastructure is devastated. Unmanned aerial vehicles (UAVs) offer enormous potential for agile relief coordination in these scenarios. However, effectively leveraging UAV fleets poses additional challenges around security, privacy, and efficient collaboration across response agencies. This paper presents a robust blockchain-enabled framework to address these challenges by integrating a consortium blockchain model, smart contracts, and cryptographic techniques to securely coordinate UAV fleets for disaster response. Specifically, we make two key contributions: a consortium blockchain architecture for secure and private multi-agency coordination; and an optimized consensus protocol balancing efficiency and fault tolerance using a delegated proof of stake practical byzantine fault tolerance (DPoS-PBFT). Comprehensive simulations showcase the framework's ability to enhance transparency, automation, scalability, and cyber-attack resilience for UAV coordination in post-disaster networks.
Paper Structure (11 sections, 6 equations, 5 figures, 1 table, 2 algorithms)

This paper contains 11 sections, 6 equations, 5 figures, 1 table, 2 algorithms.

Table of Contents

  1. Introduction
  2. System Architecture and Models
  3. Communication Model
  4. Mobility Model
  5. Analysis of Latency Components in UAV Networks
  6. Enhanced DPoS-PBFT Consensus Mechanism for UAV Networks
  7. Mechanism Overview
  8. Validator Selection in DPoS
  9. Latency Analysis
  10. Simulation Setup and Results
  11. Conclusion

Figures (5)

  • Figure 1: Architecture for Blockchain-Enabled UAV Coordination in Disaster Response.
  • Figure 2: Detailed DPoS-PBFT Working Mechanism.
  • Figure 3: (a) Latency Comparison of Consensus Protocols and (b) UAV Positioning Simulation with ANOVA Results.
  • Figure 4: Performance Analysis of Network Protocols.
  • Figure 5: Resilience Comparison - Cyberattacks.