Abstract
Having a consensus for decision making in swarm UAVs in critical systems has been a significant challenge. In this research, we propose a blockchain-based consensus mechanism for autonomous target selection in military drone swarms. The system integrates reputation-weighted voting, cross-sensor validation, and Byzantine fault tolerance to enable decentralized decision-making. Adjustable thresholds, which as 60% for normal missions, 70% for critical missions, and dynamic reputations ensure robustness. This work bridges the gap between decentralized trust and real-time operational efficiency in autonomous swarm UAV systems.
| Original language | English |
|---|---|
| Title of host publication | The 6th Joint International Conference on AI, Big Data and Blockchain, AIBB 2025 |
| Editors | Irfan Awan, Muhammad Younas, George Ghinea, Grønli Tor-Morten, Sevil Sen |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 3-14 |
| Number of pages | 12 |
| ISBN (Print) | 9783032047274 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 6th Joint International Conference on AI, Big Data, and Blockchain, AIBB 2025 - Hybrid, Istanbul, Turkey Duration: 19 Aug 2025 → 21 Aug 2025 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 1618 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | 6th Joint International Conference on AI, Big Data, and Blockchain, AIBB 2025 |
|---|---|
| Country/Territory | Turkey |
| City | Hybrid, Istanbul |
| Period | 19/08/25 → 21/08/25 |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Keywords
- Blockchain
- Decision
- Swarm
- UAV
- Voting
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