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CUBA: Chained Unanimous Byzantine Agreement for Decentralized Platoon Management

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Autonomous driving, vehicle platoons and smart traffic management will dramatically improve our transportation systems. In contrast to centralized approaches, which do not scale efficiently with the actual traffic load, a decentralized traffic management based on distributed consensus could provide a robust, fair and well-scaling solution for infrastructures of variable density.In this paper, we propose a distributed platoon management scheme, where platoon operations such as join or merge are decided by consensus over a Vehicular ad hoc network (VANET).Since conventional consensus protocols are not suitable for Cyber-Physical Systems (CPS) such as platoons, we introduce CUBA, a new validated and verifiable consensus protocol especially tailored to platoons, which considers their special communication topology.We demonstrate that CUBA only introduces a small communication overhead compared to the centralized, Leader-based approach and significantly outperforms related distributed approaches.

Original languageEnglish
Title of host publicationProceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages426-431
Number of pages6
ISBN (Electronic)9783981926323
DOIs
StatePublished - 14 May 2019
Event22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019 - Florence, Italy
Duration: 25 Mar 201929 Mar 2019

Publication series

NameProceedings of the 2019 Design, Automation and Test in Europe Conference and Exhibition, DATE 2019

Conference

Conference22nd Design, Automation and Test in Europe Conference and Exhibition, DATE 2019
Country/TerritoryItaly
CityFlorence
Period25/03/1929/03/19

Keywords

  • Consensus
  • Internet of Vehicles
  • V2V
  • VANET

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