Blockchain integration in UAV networks : Performance metrics and analysis
Journal article
Hossain, Md Imran, Tahtali, Murat, Turhan, Ugur and Biswas, Kamanashis. (2024). Blockchain integration in UAV networks : Performance metrics and analysis. Sensors. 24(23), p. Article 7813. https://doi.org/10.3390/s24237813
Authors | Hossain, Md Imran, Tahtali, Murat, Turhan, Ugur and Biswas, Kamanashis |
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Abstract | Blockchain technology has revolutionized the management of Unmanned Aerial Vehicle (UAV) networks by enhancing security, enabling decentralized control, and improving operational efficiency. This study assesses the efficiency of private blockchain architectures in UAV networks, specifically examining important performance metrics such as throughput, latency, scalability, and packet size. Furthermore, we evaluate the effectiveness of UAV networks when integrating private blockchain technologies, focusing particularly on key performance indicators such as area, altitude, and data rate. The scope of our work includes extensive simulations that employ a private blockchain to assess its impact on UAV operations. In the blockchain network, throughput decreased as the number of UAVs and transactions increased, while delay remained constant up to a certain point. In contrast, the UAV network saw improved throughput but increased delay with more UAVs and transactions. Changes in area and altitude had little impact on the blockchain network but increased delays in the UAV network. Higher data rates enhanced the UAV network by reducing latency and improving throughput, though this effect was less pronounced in the blockchain network. The aforementioned results highlight the potential and limitations of private blockchains in enhancing the durability and efficiency of UAV networks. |
Keywords | UAV; blockchain; throughput; latency; scalability; packet size |
Year | 2024 |
Journal | Sensors |
Journal citation | 24 (23), p. Article 7813 |
Publisher | Multidisciplinary Digital Publishing Institute (MDPI AG) |
ISSN | 1424-8220 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/s24237813 |
PubMed ID | 39686349 |
Scopus EID | 2-s2.0-85211797972 |
PubMed Central ID | PMC11644835 |
Open access | Published as ‘gold’ (paid) open access |
Page range | 1-22 |
Funder | University of New South Wales (UNSW) |
Publisher's version | License File Access Level Open |
Output status | Published |
Publication dates | |
Online | 06 Dec 2024 |
Publication process dates | |
Accepted | 04 Dec 2024 |
Deposited | 16 Jun 2025 |
Additional information | © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
https://acuresearchbank.acu.edu.au/item/91z3x/blockchain-integration-in-uav-networks-performance-metrics-and-analysis
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Publisher's version
OA_Hossain_2024_Blockchain_integration_in_UAV_networks_Performance.pdf | |
License: CC BY 4.0 | |
File access level: Open |
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