Blockchain-Based Collaborative Decision-Making in Vehicular Networks

Wang, Dezhen and Zhang, Rongqing and Zhao, Shengjie (2020) Blockchain-Based Collaborative Decision-Making in Vehicular Networks. In: Mobimedia 2020, 27-28 August 2020, Cyberspace.

[thumbnail of PDF]
Text (PDF)
eai.27-8-2020.2294370.pdf - Published Version

Download (722kB) | Preview


Collaborative decision-making (CDM) in vehicular networks can greatly improve the driving efficiency of vehicles. However, vehicle clusters often have serious security threats. To solve this issue, we propose a blockchain-based collaborative decision-making (BCDM) model, which is divided into two parts: the architecture level and the algorithm level. At the architectural level, we employ blockchain into vehicular networks and propose a layered blockchain network architecture (LBNA) that not only eases the data calculation and storage pressure of vehicular networks, but also further guarantees the security of the system. At the algorithm level, a BCDM algorithm combining direct trust and indirect trust is provided to determine the occurrence of traffic events and identify false messages. Simulation results reveal that the proposed system is effective and feasible in processing and storing trust information in vehicular networks.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: blockchain collaborative decision-making vehicular networks data credibility
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor I.
Date Deposited: 04 Feb 2021 14:25
Last Modified: 04 Feb 2021 14:25

Actions (login required)

View Item
View Item