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This paper studies end-to-end delay and backlog in a hybrid vehicular ad-hoc network (VANET). The probabilistic upper bounds for delay and backlog are obtained instead of evaluating the numerical results for delay and backlog. To obtain the bounds, a queueing network model is proposed...
The location privacy is critical and preserving it is essential. The tracking exposes the real time location, history of visited places and parsed trajectories. Metaphorically speaking, it is the cyber equivalent of the physical stalking and as dangerous as it is. In vehicular networks in...
3D object detection is the fundamental task of autonomous driving. The existing approaches are very expensive in computation due to high dimensionality of point clouds. We use the 3D data more efficiently by representing the scene from the RGB image and the Bird's Eye View (BEV). The whole...
Intelligent local data processing within vehicular ad hoc networks (VANET) may increase the capabilities of the internet of vehicles (IoVs). To share data effectively, vehicular clusters should be synchronised and stable. Vehicle needs uninterrupted global positioning system (GPS) signal for...
In order to overcome the problems of large error of traffic data synchronisation and high-traffic congestion rate in traditional methods, a data synchronisation method of intelligent transportation system based on Internet of Vehicles (IoT) technology is proposed. Intelligent transportation...
The benefit brought by Vehicular Ad Hoc Networks (VANETs) can only be gained if the successful Road State Information (RSI) message notifications are exchanged between the mobiles involved. Moreover, a successful exchange is only possible with a well-integrated Link Adaptation (LA) mechanism....
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