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

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).

[1]  Jishnu Narayan,et al.  Mobility as a Service: A Critical Review of Definitions, Assessments of Schemes, and Key Challenges , 2017 .

[2]  Z. Bojkovic,et al.  Machine-to-Machine Communication Architecture as an Enabling Paradigm of Embedded Internet Evolution , 2014 .

[3]  Manuel Mazzara,et al.  A Holistic Infrastructure to Support Elderlies' Independent Living , 2016 .

[4]  Sangjin Kim,et al.  Rethinking Vehicular Communications: Merging VANET with cloud computing , 2012, 4th IEEE International Conference on Cloud Computing Technology and Science Proceedings.

[5]  Satoshi Nakamoto Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[6]  Rob Christiaanse,et al.  Mobility as a Service , 2019, WWW.

[7]  Kai Ding,et al.  Battery-Management System (BMS) and SOC Development for Electrical Vehicles , 2011, IEEE Transactions on Vehicular Technology.

[8]  Hong Linh Truong,et al.  MQTT-S — A publish/subscribe protocol for Wireless Sensor Networks , 2008, 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08).

[9]  Yuan Yong,et al.  Towards blockchain-based intelligent transportation systems , 2016 .

[10]  S. Popov The Tangle , 2015 .

[11]  Pierluigi Siano,et al.  Demand response and smart grids—A survey , 2014 .

[12]  Sherali Zeadally,et al.  Autonomous Cars: Research Results, Issues, and Future Challenges , 2019, IEEE Communications Surveys & Tutorials.

[13]  Aleksandr Kapitonov,et al.  Blockchain-based protocol of autonomous business activity for multi-agent systems consisting of UAVs , 2017, 2017 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS).

[14]  Donghyun Kim,et al.  PBF: A New Privacy-Aware Billing Framework for Online Electric Vehicles with Bidirectional Auditability , 2015, Wirel. Commun. Mob. Comput..

[15]  Manuel Mazzara,et al.  Jolie Good Buildings: Internet of things for smart building infrastructure supporting concurrent apps utilizing distributed microservices , 2016, ArXiv.

[16]  Santokh Singh,et al.  Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey , 2015 .

[17]  Manuel Mazzara,et al.  Microservice-Based IoT for Smart Buildings , 2016, 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA).

[18]  Nikola Tesla Experiments with Alternate Currents of Very High Frequency and their Application to Methods of Artificial Illumination , 1891, Transactions of the American Institute of Electrical Engineers.

[19]  Ivan Lanese,et al.  Microservices: How To Make Your Application Scale , 2017, Ershov Informatics Conference.

[20]  Ilya Afanasyev,et al.  Towards Blockchain-Based Robonomics: Autonomous Agents Behavior Validation , 2018, 2018 International Conference on Intelligent Systems (IS).

[21]  Maria Laura Delle Monache,et al.  Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments , 2017, ArXiv.

[22]  Manuel Mazzara,et al.  Towards a formalism-based toolkit for automotive applications , 2013, 2013 1st FME Workshop on Formal Methods in Software Engineering (FormaliSE).

[23]  Ilya Afanasyev,et al.  Autonomous Drifting Control in 3D Car Racing Simulator , 2018, 2018 International Conference on Intelligent Systems (IS).