Name
Abstract | ||
|---|---|---|
The connectivity of a large-scale heterogeneous Internet of Vehicles (IoV) is an important challenge for the environment of urban road scenes, which feature crossroads, buildings, and communication devices. The uneven density and wide distribution of vehicles in the city, the building barriers, and the interference of other communication technology will make the connectivity weaker. To the best of our knowledge, there is no formal method to model and analyze connectivity by considering the environment of urban road scenes. This paper presents such a theoretical method to investigate four connectivity properties i.e., possibility, data forwarding time, link forwarding capability, and packet error rate and deduce a connectivity model. Using experiments, we prove that the proposed model can ensure that the connectivity is effective and reliable in an urban road scene, and it can be used to accurately evaluate the network connectivity of a highly dynamic IoV. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ACCESS.2017.2784845 | IEEE ACCESS |
Keywords | Field | DocType |
Connectivity,Internet of Vehicles,large-scale heterogeneous network,urban road | Network connectivity,Computer science,Network packet,Computer network,Network topology,Information and Communications Technology,Interference (wave propagation),Formal methods,Heterogeneous network,Distributed computing,The Internet | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiujun Cheng | 1 | 166 | 10.39 |
| Hao Mi | 2 | 0 | 0.34 |
| Zhenhua Huang | 3 | 18 | 3.74 |
| Shangce Gao | 4 | 486 | 45.41 |
| Di Zang | 5 | 98 | 12.40 |
| Cong Liu | 6 | 128 | 14.67 |