With the fast development of 5G networks and the advancement in networking technologies, more and more new technologies such as internet of vehicles (IoV) is catching our
eyes. With technologies of artificial intelligence and automatic control, IoV is transformed
into an intelligent transportation system (ITS). The object of this thesis is to analyze the
connectivity probability issues in vehicle ad hoc networks (VANETs), which is a subset of
ITS. This will be achieved by a platoon-based two dimensional model. In order to make
the results more accurate and more close to real scenario, different situations will be analyzed separately, and different types of platoon will be included. In addition, other system
parameters are also discussed and stimulated. The results show that many parameters like
the increases of traffic density, ratio of platoon, and lane numbers will improve connectivity
probability. No-leader based platoons are easier to connect to the base stations compared
to leader based platoons.
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/14987985 |
| Date | 06 August 2021 |
| Creators | Donglin Liu (11139153) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/STUDY_OF_CONNECTIVITY_PROBABILITY_IN_VANETS_BY_A_TWO-DIMENSIONAL_PLATOON-BASED_MODEL/14987985 |
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