2019
DOI: 10.1155/2019/2150524
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Replication-Based Data Dissemination in Connected Internet of Vehicles

Abstract: Due to the dynamically changing topology of Internet of Vehicles (IoV), it is a challenging issue to achieve efficient data dissemination in IoV. This paper considers strongly connected IoV with a number of heterogenous vehicular nodes to disseminate information and studies distributed replication-based data dissemination algorithms to improve the performance of data dissemination. Accordingly, two data replication algorithms, a deterministic algorithm and a distributed randomised algorithm, are proposed. In t… Show more

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Cited by 9 publications
(6 citation statements)
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References 36 publications
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“…The authors used deep learning models to handle the data dissemination scheme for IoV, which was based on the type of content shared and the mobility of vehicles. 53 They designed an energy estimation scheme that selects the vehicles to participate in the process of data dissemination. Then, the Weiner process model was used to estimate the connection probability of the chosen vehicles.…”
Section: Internet Of Vehiclesmentioning
confidence: 99%
“…The authors used deep learning models to handle the data dissemination scheme for IoV, which was based on the type of content shared and the mobility of vehicles. 53 They designed an energy estimation scheme that selects the vehicles to participate in the process of data dissemination. Then, the Weiner process model was used to estimate the connection probability of the chosen vehicles.…”
Section: Internet Of Vehiclesmentioning
confidence: 99%
“…Other works also used SUMO to simulate a particular area in France with the vehicle speed of 30km/h and 80 km/h [69], Al-Ain City in the United Arab Emirates with the maximum speed of 100 km/h [53]. Furthermore, content distribution works also use SUMO to generate the movement trajectories of vehicles in the area of Ottawa, Canada [96] and San Franciso [99], which are obtained from OSM. In contrast, SUMO is used to simulate the mobility of the vehicles without the actual road topology, i.e., three-lanes, at the speed of 60 km/h and 80 km/h [76].…”
Section: F Mobility Modelmentioning
confidence: 99%
“…The system achieved a high percentage for the misbehaving nodes detection, but the bottleneck required long detection time. On the other hand, the classification of vehicles can also be in terms of vehicles types and storage capabilities [99]. Data dissemination in the dense Internet of Vehicles (IoV) can be abstracted as a complete graph using graph theory [99], [122].…”
Section: A Homogeneous Edge Nodesmentioning
confidence: 99%
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“…At present, the Cooperative Vehicle Infrastructure System (CVIS) has become one of the most promising and fastest growing research in ITS. In CVIS, accurate and timely information interaction between vehicles and infrastructure can contribute to solve intelligent information management and decision-making problems, such as traffic congestion and road safety problems [1,2]. Data transmission is completed in the way of "store-carry-forward" through passing vehicles within roadside units (RSUs) coverage.…”
Section: Introductionmentioning
confidence: 99%