Empowering Communications in Vehicular Networks with an Intelligent Blockchain-Based Solution

Bacem Mbarek, Nafaa Jabeur, Tomás Pitner and Ansar-Ul-Haque Yasar
Additional contact information
Bacem Mbarek: Faculty of Informatics, Masaryk University, Botanická 68A, 602 00 Brno, Czech Republic
Nafaa Jabeur: Department of Computer Science, German University of Technology in Oman (GUtech), P.O. Box 1816, Athaibah, Muscat PC 130, Oman
Tomás Pitner: Faculty of Informatics, Masaryk University, Botanická 68A, 602 00 Brno, Czech Republic
Ansar-Ul-Haque Yasar: Transportation Research Institute Hasselt University, Martelarenlaan 42, 3500 Hasselt, Belgium

Sustainability, 2020, vol. 12, issue 19, 1-13

Abstract: Blockchains have emerged over time as a reliable and secure way to record transactions in an immutable manner in a wide range of application domains. However, current related solutions are not yet capable of appropriately checking the authenticity of data when their volumes are huge. They are not also capable of updating Blockchain data blocks and synchronizing them within reasonable timeframes. This is the case within the specific context of Blockchain vehicular networks, where these solutions are commonly cumbersome when attempting to add new vehicles to the network. In order to address these problems, we propose in this paper a new Blockchain-based solution that intelligently implement selective communication and collaborative endorsement approaches to reduce communications between vehicles. Our solution represents the vehicles of the Blockchain as intelligent software agents with a Belief–Desire–Intention (BDI) architecture. Furthermore, we propose an approach based on multi-endorsement levels to exchange data of varying sensitive categories. This approach, which is based on endorsing scores, is also used to shorten the admission of new vehicles into the Blockchain. We run simulations using the Hyperledger Fabric Blockchain tool. Results show the efficiency of our solution in reducing the processing times of transactions within two different scenarios.

Keywords: blockchain; vehicular network; belief–desire–intension architecture; multi-endorsement levels; collaborative endorsement; selective communication (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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