Blockchain PoS and PoW Consensus Algorithms for Airspace Management Application to the UAS-S4 Ehécatl

Author:

Hashemi Seyed Mohammad1,Botez Ruxandra Mihaela1ORCID,Ghazi Georges1

Affiliation:

1. Laboratory of Applied Research in Active Controls, Avionics and AeroServoElasticity LARCASE, École de Technologie Supérieure (ÉTS), Université de Québec, Montreal, QC H3C 1K3, Canada

Abstract

This paper introduces an innovative consensus algorithm for managing Unmanned Aircraft System Traffic (UTM) through blockchain technology, a highly secure consensus protocol, to allocate airspace. A smart contract was developed on the Ethereum blockchain for allocating airspace. This technique enables the division of the swarm flight zone into smaller sectors to decrease the computational complexity of the algorithm. A decentralized voting system was established within these segmented flight zones, utilizing two primary methodologies: Proof of Work (PoW) and Proof of Stake (PoS). By employing 1000 UAS-S4s across various locations and heading angles, a swarm flight zone was generated. The efficiency of the devised decentralized consensus system was assessed based on error rate and validation time. Despite PoS displaying greater efficiency in cumulative probability for block execution, the comparative analysis indicated PoW outperformed PoS concerning the potential for conflicts among UASs.

Funder

Canada Research Chair in Aircraft Modeling and Simulation

Publisher

MDPI AG

Subject

Computational Mathematics,Computational Theory and Mathematics,Numerical Analysis,Theoretical Computer Science

Reference61 articles.

1. Sridhar, B., Sheth, K.S., and Grabbe, S. (1998). Airspace complexity and its application in air traffic management, 2nd USA/Europe Air Traffic Management R&D Seminar.

2. Flight safety measurements of UAVs in congested airspace;Xiang;Chin. J. Aeronaut.,2016

3. Kopardekar, P.H. (2014). Unmanned Aerial System (UAS) Traffic Management (UTM): Enabling Low-Altitude Airspace and UAS Operations.

4. Hashemi, S.M. (2022). Novel Trajectory Prediction and Flight Dynamics Modelling and Control Based on Robust Artificial Intelligence Algorithms for the UAS-S4, École de technologie supérieure.

5. Auctions for the safe, efficient, and equitable allocation of airspace system resources;Ball;Comb. Auction.,2006

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3