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The following metrics are used for our study: (i) connectivity distance, defined as the length of a connected path from any given vehicle; and (ii) the number of vehicles in a connected spatial cluster (platoon) or a connected path from any given distance.
The connectivity distance is then evaluated as the length of connected path from a vehicle.
Let D be the random variable representing the connectivity distance, which is defined as the length of the connected path from a given vehicle.
Analytical expressions for the average connectivity distance and the expected number of vehicles in a connected cluster are presented, taking into account the effects of channel randomness.
Assuming that the network consists of a large number of finite clusters, we obtain analytical expressions for the average connectivity distance and the expected number of vehicles in a connected cluster, taking into account the underlying wireless channel.
The connectivity distance evaluation process is then repeated 10,000 times.
Similar(27)
Researches on the connectivity statistics of inter-vehicle distances focus on disclosing the relationship between connectivity and connection distance which is defined as the length of the connected path.
MC tends to stress local topological distances and dilate large connectivity distances (Cannistraci et al., 2010).
MCE performs the embedding of the network connectivity distances measured over the minimum spanning tree (MST) of the original network.
Streamline density was used to define a threshold value by taking the average of the IPL connectivity distribution across the entire brain, reflecting values from regions with both short and long connectivity distances.
The latter include several weighted descriptors characterizing the intensity of cross talk between the metabolic pathways; they present a more realistic picture of network connectivity, distances, paths, and centrality at the higher organizational level of NIPs.
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