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Keywords

UAV, VANET, Relay node, UAV trajectory, GPSR

Document Type

Article

Abstract

Connectivity and data delivery latency in vehicular networks are strongly affected by the high dynamism of vehicular traffic, which depend on many random factors. Under the inevitable constraints imposed by road paths and free-flowing vehicular traffic conditions (e.g., low to medium vehicle density, high mobility, high speeds), these networks suffer from fast topology variations that lead to frequent disconnections. Consequently, communications experience increased data delivery latency. Establishing a connection between source and destination vehicles depends heavily on vehicle density along the road. UAV assistance becomes more necessary as vehicle density along the road decreases. Moreover, when a road segment is low density or lacks roadside units (RSUs), reliance on UAVs increases. Here, the specific navigation model adopted by the UAV can significantly impact the performance of the routing protocol. Indeed, when UAVs operate as relay stations over vehicle networks (VANETs), several challenges arise, such as power management and determining the appropriate navigation models that will support message delivery within the routing route. In the context of UAV-assisted VANET networks, the mobility model has not been studied, considering what a routing protocol needs to function best. In order to reproduce the actual behavior of the UAV in combination with the needs of the routing protocol, so that the routing protocol works better. Our goal is to design a UAV path that takes into account the mechanism by which the routing protocol works. Thus, improving the performance of the network.

DOI

10.65645/3105-9104.1031

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