A Drone-Aided Blockchain-Based Smart Vehicular Network

The staggering growth of the number of vehicles worldwide has become a critical challenge resulting in tragic incidents, environment pollution, congestion, etc. Therefore, one of the promising approaches is to design a smart vehicular system as it is beneficial to drive safely. Present vehicular system lacks data reliability, security, and easy deployment. Motivated by these issues, this paper addresses a drone-enabled intelligent vehicular system, which is secure, easy to deploy and reliable in quality. Nevertheless, an increase in the number of operating drones in the communication networks makes them more vulnerable towards the cyber-attacks, which can completely sabotage the communication infrastructure. To tackle these problems, we propose a blockchain-based registration and authentication system for the entities such as drones, smart vehicles (SVs) and roadside units (RSUs). This paper is mainly focused on the blockchain-based secure system design and the optimal placement of drones to improve the spectral efficiency of the overall network. In particular, we investigate the association of RSUs with the drones by considering multiple communication-related factors such as available bandwidth, maximum number of links a drone can support, and backhaul limitations. We show that the proposed model can easily be overlaid on the current vehicular network reaping benefits of secure and reliable communications. © 2000-2011 IEEE.

TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Kommunikationssystem hsv//swe
ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems hsv//eng
Backhaul network
blockchain
drones
intelligent transportation
roadside units (RSUs)
UAVs
unsupervised learning
Bandwidth
Crime
Digital storage
Traffic congestion
Authentication systems
Available bandwidth
Communication infrastructure
Critical challenges
Environment pollution
Optimal placements
Reliable communication
Spectral efficiencies
Network security

In:IEEE transactions on intelligent transportation systems (Print): Institute of Electrical and Electronics Engineers Inc.22:7, s. 4160-41701524-90501558-0016

By the author/editor: Cheema, M. A.; Shehzad, M. K.; Qureshi, H. K.; Hassan, Syed-Ali; Jung, H.

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