Abstract
Vehicular ad hoc Network (VANET) is a collection of vehicles and associated roadside infrastructure which provide mobile wireless communication services. One of the significant use-cases is to transmit the images using VANET during emergencies like road accidents, traffic congestion, fire, or traf
Highlights
Vehicular ad hoc network (VANET) consists of mobile nodes equipped with sensors
The internode level is the second level, where it is ensured by the routing framework that when there is a contest for transmission medium between two neighbors, a packet will initially be transmitted by the neighbor containing high priority as compared to the neighbor with low priority packet
As both high priority and low priority packets are sent without Priority-based Routing Framework for Image Transmission (PRoFIT) managing prioritized routing, it can be seen that the delivery ratios are similar
Summary
Vehicular ad hoc network (VANET) consists of mobile nodes equipped with sensors. Typically, mobile nodes monitor the environment's natural and physical conditions and send them to the neighbor node. The images captured during emergencies need to be delivered on a priority basis to the sink node for action. PRoFIT has been adapted to work on VANETs. In this paper, the PRoFIT framework is used to transmit the critical messages on priority over the network using V2V communication. The usefulness of PRoFIT on a VANET was evaluated by simulating multiple mobility scenarios. In this case, images were considered as priority data for the network. The captured images need to be sent to the sink for processing at a high priority. End-to-end delays and delivery ratios of high priority and low priority packets were calculated at the sink node for both fixed and mobility models.
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