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

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Web, Artificial Intelligence and Network Applications (WAINA 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 927))

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).

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Notes

  1. 1.

    BMS is a combination of sensors, controller, computation and communication hardware with software algorithms designed to estimate the battery percentage of the EV [5].

  2. 2.

    But it is a prime example of Privacy violation - why service providers are able to see users’ detailed private information?

  3. 3.

    IOTA transaction contains: transaction hash, signature message fragment, address of the recipient, value, timestamp, bundle, nonce, and a few other properties that reveal nothing about the identity of transacting parties.te.

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Authors and Affiliations

  1. Innopolis University, Universitetskaya str. 1, 420500, Innopolis, Russia

    Dragos Strugar, Rasheed Hussain, Manuel Mazzara, Victor Rivera, Ilya Afanasyev & JooYoung Lee

Authors
  1. Dragos Strugar
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  2. Rasheed Hussain
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  3. Manuel Mazzara
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  4. Victor Rivera
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  5. Ilya Afanasyev
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  6. JooYoung Lee
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Corresponding author

Correspondence to Dragos Strugar .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Department of Advanced Sciences, Hosei University, Koganei-Shi, Tokyo, Japan

    Makoto Takizawa

  3. Department of Computer Science, Technical University of Catalonia, Barcelona, Barcelona, Spain

    Fatos Xhafa

  4. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

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Strugar, D., Hussain, R., Mazzara, M., Rivera, V., Afanasyev, I., Lee, J. (2019). An Architecture for Distributed Ledger-Based M2M Auditing for Electric Autonomous Vehicles. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_11

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