Vehicle Ad-hoc network (VANET) have sensing nodes moving with different speeds. The vehicular cloud is a group of vehicles communicating with each other to share the resources provided from the central cloud. The end-to-end throughput for multi-hop wireless network is analysed in this paper using a set of non-linear equations. The interference due to the hidden nodes and the neighbouring nodes is considered into computing the end-to-end throughput. The contention graph is used to clarify the connection among the nodes into the network to find the capacity of the individual links to facilitate estimating the end-to-end throughput. Effect of the cloud on the end-to-end throughput is also illustrated in this paper. The results show that the throughput with employing cloud is lower than that without using the cloud.
Vehicle-to-Vehicle (V2V) communication system is a network of vehicles that communicate with each other to exchange information. The environment between vehicles affect in the signals that travel from the transmitter to the receiver, subsequently, it is important to comprehend the underlying characteristics propagation channels. This paper discusses and models some of the key metrics such as path loss, power delay profile, and delay spread at 5.2 GHz carrier frequency. The analyses are presented for two scenarios; both of the transmitter and receiver are stationary and in moving case with considering the direction of the moving and the separation between the vehicles. Likewise, a probability of a presence of some impediments in between of the vehicles with various separations is considered. The achieved results show that path loss for many types of environments may be predicted with using the presented model channel Model and location of the obstacles is sensitive to the received signals.Index Terms: Vehicle-to-Vehicle (V2V) communication system, channel model, path loss, power delay profile, RMS delays spread and Doppler Effect.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.