… In recent years, the role of vehicularnetworks has become … Many vehicularnetwork applications such as routing, … prediction-based model for vehicularnetworks. Therefore, a number of …
Y Chen, M Xu, Y Gu, P Li, L Shi, X Xiao - … Communications and Networking, 2014 - Springer
… of vehicularnetwork topologies based on two real taxi-trace datasets. The analysis results … Based on the analytical results, we propose several design philosophies and new research …
… first set of empirical models to realistically generate CAMs in vehicularnetworks. The models … The models are validated against the empirical traces reported in [8]. The models can be …
S Kwon, Y Kim, NB Shroff - IEEE Transactions on Wireless …, 2016 - ieeexplore.ieee.org
… Empirical studies from real freeway traffic data have shown … , we analyze properties of such a vehicularnetwork not only in a … , our analysis provides the probability that the network is …
B Sliwa, C Wietfeld - 2019 IEEE 90th Vehicular Technology …, 2019 - ieeexplore.ieee.org
… In this paper, we provide an empiricalanalysis of the potentials of using data rate prediction … vehicularnetworks. The real world evaluation is carried out in the public cellular networks of …
… With 100 transmitters, the mean cumulative throughput from our empirical observations is approximately 1600 pps, whereas Bianchi’s theoretical model predicts a throughput of only 2 …
… learning for RA in vehicularnetworks. In Section VII, we summarize three important future directions for RA research in vehicularnetworks lead by network slicing, machine learning, …
… intrusion detection method for vehicularnetworks based on the survival analysis model. Our … the normality and abnormality of a vehiclenetwork without semantic knowledge of the CAN …
Q Zheng, K Zheng, L Sun… - … on Vehicular Technology, 2015 - ieeexplore.ieee.org
… Thus, this paper focuses on the performance analysis of the cluster-based heterogeneous vehicularnetworks (C-HetVNETs) with … In this paper, we use empirical value ξ=0.01πz …