University of Oulu

Nguyen, H., Nguyen, T., Leppänen, T., Partala, J., Pirttikangas, S. (2022). Situation Awareness for Autonomous Vehicles Using Blockchain-Based Service Cooperation. In: Franch, X., Poels, G., Gailly, F., Snoeck, M. (eds) Advanced Information Systems Engineering. CAiSE 2022. Lecture Notes in Computer Science, vol 13295. Springer, Cham.

Situation awareness for autonomous vehicles using blockchain-based service cooperation

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Author: Nguyen, Huong1; Nguyen, Tri1; Leppänen, Teemu1;
Organizations: 1ITEE, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
Persistent link:
Language: English
Published: Springer Nature, 2022
Publish Date: 2022-06-21


Efficient Vehicle-to-Everything enabling cooperation and enhanced decision-making for autonomous vehicles is essential for optimized and safe traffic. Real-time decision-making based on vehicle sensor data, other traffic data, and environmental and contextual data becomes imperative. As a part of such Intelligent Traffic Systems, cooperation between different stakeholders needs to be facilitated rapidly, reliably, and securely. The Internet of Things provides the fabric to connect these stakeholders who share their data, refined information, and provided services with each other. However, these cloud-based systems struggle to meet the real-time requirements for smart traffic due to long distances across networks. Here, edge computing systems bring the data and services into the close proximity of fast-moving vehicles, reducing information delivery latencies and improving privacy as sensitive data is processed locally. To solve the issues of trust and latency in data sharing between these stakeholders, we propose a decentralized framework that enables smart contracts between traffic data producers and consumers based on blockchain. Autonomous vehicles connect to a local edge server, share their data, or use services based on agreements, for which the cooperating edge servers across the system provide a platform. We set up proof-of-concept experiments with Hyperledger Fabric and virtual cars to analyze the system throughput with secure unicast and multicast data transmissions. Our results show that multicast transmissions in such a scenario boost the throughput up to 2.5 times where the data packets of different sizes can be transmitted in less than one second.

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Series: Lecture notes in computer science
ISSN: 0302-9743
ISSN-E: 1611-3349
ISSN-L: 0302-9743
ISBN: 978-3-031-07472-1
ISBN Print: 978-3-031-07471-4
Volume: 13295
Pages: 501 - 516
DOI: 10.1007/978-3-031-07472-1_29
Host publication: Advanced information systems engineering. CAiSE 2022
Host publication editor: Franch, Xavier
Poels, Geert
Gailly, Frederik
Snoeck, Monique
Conference: International Conference on Advanced Information Systems Engineering
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
Funding: This research is done in a strategic research project TrustedMaaS under focus institute Infotech Oulu, University of Oulu, and ECSEL JU FRACTAL (grant 877056). A personal grant by the Nokia foundation for Mr. Tri Nguyen. The researchers operate under Academy of Finland, 6G Flagship (grant 318927).
EU Grant Number: (877056) FRACTAL - A Cognitive Fractal and Secure EDGE based on an unique Open-Safe-Reliable-Low Power Hardware Platform Node
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2022 Springer Nature Switzerland AG. This is a post-peer-review, pre-copyedit version of an article published in Lecture Notes in Computer Science, vol 13295. The final authenticated version is available online at