Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain

Mustafa Tosun; Şerif Bahtiyar

doi:10.1007/978-3-032-04728-1_1

Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain

Mustafa Tosun^*
, Şerif Bahtiyar

^*Bu çalışma için yazışmadan sorumlu yazar

Bilgisayar Mühendisliği Bölümü

Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	The 6th Joint International Conference on AI, Big Data and Blockchain, AIBB 2025
Editörler	Irfan Awan, Muhammad Younas, George Ghinea, Grønli Tor-Morten, Sevil Sen
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	3-14
Sayfa sayısı	12
ISBN (Basılı)	9783032047274
DOI'lar	https://doi.org/10.1007/978-3-032-04728-1_1
Yayın durumu	Yayınlandı - 2025
Etkinlik	6th Joint International Conference on AI, Big Data, and Blockchain, AIBB 2025 - Hybrid, Istanbul, Türkiye Süre: 19 Ağu 2025 → 21 Ağu 2025

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	1618 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	6th Joint International Conference on AI, Big Data, and Blockchain, AIBB 2025
Ülke/Bölge	Türkiye
Şehir	Hybrid, Istanbul
Periyot	19/08/25 → 21/08/25

Bibliyografik not

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

Belgeye Erişim

10.1007/978-3-032-04728-1_1

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Tosun, M., & Bahtiyar, Ş. (2025). Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain. In I. Awan, M. Younas, G. Ghinea, G. Tor-Morten, & S. Sen (Eds.), The 6th Joint International Conference on AI, Big Data and Blockchain, AIBB 2025 (pp. 3-14). (Lecture Notes in Networks and Systems; Hac. 1618 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-032-04728-1_1

Tosun, Mustafa ; Bahtiyar, Şerif. / Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain. The 6th Joint International Conference on AI, Big Data and Blockchain, AIBB 2025. editör / Irfan Awan ; Muhammad Younas ; George Ghinea ; Grønli Tor-Morten ; Sevil Sen. Springer Science and Business Media Deutschland GmbH, 2025. pp. 3-14 (Lecture Notes in Networks and Systems).

@inproceedings{6efce8c4b33a4215b8751e411591752f,

title = "Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain",

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.",

keywords = "Blockchain, Decision, Swarm, UAV, Voting",

author = "Mustafa Tosun and {\c S}erif Bahtiyar",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; 6th Joint International Conference on AI, Big Data, and Blockchain, AIBB 2025 ; Conference date: 19-08-2025 Through 21-08-2025",

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doi = "10.1007/978-3-032-04728-1\_1",

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Tosun, M & Bahtiyar, Ş 2025, Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain. in I Awan, M Younas, G Ghinea, G Tor-Morten & S Sen (eds), The 6th Joint International Conference on AI, Big Data and Blockchain, AIBB 2025. Lecture Notes in Networks and Systems, hac. 1618 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 3-14, 6th Joint International Conference on AI, Big Data, and Blockchain, AIBB 2025, Hybrid, Istanbul, Türkiye, 19/08/25. https://doi.org/10.1007/978-3-032-04728-1_1

Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain. / Tosun, Mustafa; Bahtiyar, Şerif.
The 6th Joint International Conference on AI, Big Data and Blockchain, AIBB 2025. ed. / Irfan Awan; Muhammad Younas; George Ghinea; Grønli Tor-Morten; Sevil Sen. Springer Science and Business Media Deutschland GmbH, 2025. p. 3-14 (Lecture Notes in Networks and Systems; Hac. 1618 LNNS).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

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AU - Bahtiyar, Şerif

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PY - 2025

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N2 - 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.

AB - 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.

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KW - Decision

KW - Swarm

KW - UAV

KW - Voting

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Tosun M, Bahtiyar Ş. Reputation Based Consensus Mechanism for Drone Swarms with Ethereum Blockchain. In Awan I, Younas M, Ghinea G, Tor-Morten G, Sen S, editörler, The 6th Joint International Conference on AI, Big Data and Blockchain, AIBB 2025. Springer Science and Business Media Deutschland GmbH. 2025. p. 3-14. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-032-04728-1_1