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

arXiv: https://arxiv.org/abs/2402.15331 · HTML: https://mlsanity.com/paper/2402.15331/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 23 Feb 2024.

## Built on by (most cited first, 1 of 1)

- [Federated Deep Reinforcement Learning for Privacy-Preserving Robotic-Assisted Surgery](https://mlsanity.com/paper/2505.12153/) (2025)

## Abstract (arXiv)

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.