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Title Referenced Blockchain Approach For Road Traffic Monitoring In A Smart City Using Internet Of Drones
ID_Doc 44785
Authors Singh M.P.; Singh A.; Aujla G.S.; Singh Bali R.; Jindal A.
Year 2022
Published IEEE International Conference on Communications, 2022-May
DOI http://dx.doi.org/10.1109/ICC45855.2022.9838264
Abstract The global escalation in the road traffic density alleviates the harmful emissions and fuel bills due to congestion and misaligned traffic control. The conventional traffic monitoring schemes (camera or sensor-based) are not able to cover every nook and corner and thus miss various vital traffic parameters that can otherwise be very useful for traffic density and pattern analysis. Internet of Drones (IoD) has been widely adopted to resolve various related challenges and has strong potential in traffic monitoring even in the areas where scarcity of fixed infrastructure is witnessed. Thus, in this paper, we have proposed an IoD-based traffic monitoring system to avoid the congestion on the roads within the available infrastructure. Moreover, to deal with the dynamic network typologies, an software-defined networking (SDN)-based centralized controller is configured to generate the flow rules for end to end data transmission. However, the drones communicate with each other through an open channel (now controlled through a programmable SDN architecture). Thus, the integrity of data collected by drones must be protected through a robust security mechanism. So, we have adopted a blockchain technology to secure the proposed system against unauthorised access and maintain data integrity. However, maintaining the entire blockchain on the drones can lead to several resource bottlenecks. Thus, we have used a referenced blockchain architecture that decouples the data from the blockchain part and stores it in the off-chain. The proposed scheme has been validated using simulated environments that validates its the superiority in contrast to the existing variants. © 2022 IEEE.
Author Keywords Blockchain; Internet of Drones; Software-defined Networking; Traffic Monitoring


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