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.
Highlights
Thanks to the increasing adoption of Internet of Things (IoT) devices into today’s vehicles, the acquisition of road traffic-related data has become easier
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
The existing approaches that have attempted to solve this issue are not flexible enough to speed up this process and allow the admission of new vehicles into the Blockchain within reasonable timeframes
Summary
Thanks to the increasing adoption of Internet of Things (IoT) devices into today’s vehicles, the acquisition of road traffic-related data has become easier. In the specific context of a vehicular network, current Blockchain mechanisms include a higher number of endorsing peers, unless they are thoroughly adapted to fit the available limited resources or replaced with revolutionary approaches To address these shortcomings, we argue that vehicles must be capable of selecting the right endorsing peers for the right transactions they want to perform in order to reduce their communication overheads. As VANET is by nature highly dynamic and opportunistic, we argue that vehicles must be aware of their surrounding contexts and rely on the minimum number of peers to carry out their transactions To reach these goals, we propose in this paper to model the participant vehicles in the Blockchain according to a Belief–Desire–Intension (BDI) architecture.
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