An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles

Dragos Strugar*, Rasheed Hussain, Manuel Mazzara, Victor Rivera, Ilya Afanasyev, Joo Young Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

5 Citations (Scopus)
32 Downloads (Pure)

Abstract

Electric Autonomous Vehicles (EAVs) promise to be an effective way to solve transportation issues such as accidents, emissions and congestion, and aim at establishing the foundation of Machine-to-Machine (M2M) economy. For this to be possible, the market should be able to offer appropriate charging services without involving humans. The state-of-the-art mechanisms of charging and billing do not meet this requirement, and often impose service fees for value transactions that may also endanger users and their location privacy. This paper aims at filling this gap and envisions a new charging architecture and a billing framework for EAV which would enable M2M transactions via the use of Distributed Ledger Technology (DLT).

Original languageEnglish
Title of host publicationWeb, Artificial Intelligence and Network Applications
Subtitle of host publicationProceedings of the Workshops of the 33rd International Conference on Advanced Information Networking and Applications (WAINA-2019)
EditorsLeonard Barolli, Fatos Xhafa, Makoto Takizawa, Tomoya Enokido
PublisherSpringer Verlag
Pages116-128
Number of pages13
ISBN (Electronic)978-3-030-15035-8
ISBN (Print)978-3-030-15034-1
DOIs
Publication statusPublished - 15 Mar 2019
Event33rd International Conference on Advanced Information Networking and Applications, AINA 2019 - Matsue, Japan
Duration: 27 Mar 201929 Mar 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume927
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference33rd International Conference on Advanced Information Networking and Applications, AINA 2019
Country/TerritoryJapan
CityMatsue
Period27/03/1929/03/19

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

  • cs.CY

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