Mobility models for vehicular ad hoc networks: a survey and taxonomy

Jérôme Härri, Fethi Filali, Christian Bonnet

IEEE Communications Surveys & Tutorials · 2009 · 755 citations · 44 references

Concepts

TL;DR

Vehicular ad‑hoc networks (VANETs) are attracting growing research and industry interest, yet realistic mobility modeling remains difficult due to the need for accurate macroscopic and microscopic descriptions and dynamic adaptation to communication protocols, and the abundance of incomparable models complicates assessment of their realism. This survey aims to give readers a clear guideline for understanding, objectively comparing, and selecting appropriate vehicular mobility models. We present a framework for generating mobility models, review community approaches and their integration with network simulators, and provide a comprehensive taxonomy of existing VANET mobility models.

Abstract

Vehicular Ad-hoc Networks (VANETs) have been recently attracting an increasing attention from both research and industry communities. One of the challenges posed by the study of VANETs is the definition of a vehicular mobility model providing an accurate and realistic vehicular mobility description at both macroscopic and microscopic levels. Another challenge is to be able to dynamically alter this vehicular mobility as a consequence of the vehicular communication protocols. Many mobility models have been developed by the community in order to solve these two issues. However, due to the large number of available models claiming to be adapted to vehicular traffic, and also due to their different and somehow incomparable features, understanding their true characteristics, their degree of realism with respect to vehicular mobility, and real capabilities is a hard task. In this survey, we first introduce a framework that proposes a guideline for the generation of vehicular mobility models. Then, we illustrate the different approaches chosen by the community for the development of vehicular mobility models and their interactions with network simulators. Finally, we propose an overview and taxonomy of a large range of mobility models available for vehicular ad hoc networks. The objective is to provide readers with a guideline to easily understand and objectively compare the different models, and eventually identify the one required for their needs.

References

44