Realistic mobility models for vehicular Ad hoc network (VANET) simulations

Kun-Chan Lan, Chien Ming Chou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

54 Citations (Scopus)

Abstract

Vehicular Ad-Hoc Network (VANET) is surging in popularity, in which vehicles constitute the mobile nodes in the network. Due to the prohibitive cost of deploying and implementing such a system in real world, most research in VANET relies on simulations for evaluation. A key component for VANET simulations is a realistic vehicular mobility model thatensures that conclusions drawn from simulation experiments will carry through to real deployments. In this work, we first introduce a tool MOVE that allows users to rapidly generate realistic mobility models for VANET simulations. MOVE is built on top of an open source micro-traffic simulator SUMO. The output of MOVE is a realistic mobility model and can be immediately used by popular network simulators such as ns-2 and qualnet. We evaluate the effects of details of mobility models in three case studies of VANET simulations (specifically, the existence of traffic lights, driver route choice and car overtaking behavior) and show that selecting sufficient level of details in the simulation is critical for VANET protocol design.

Original languageEnglish
Title of host publicationProceedings - 2008 8th International Conference on Intelligent Transport System Telecommunications, ITST 2008
Pages362-366
Number of pages5
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 8th International Conference on Intelligent Transport System Telecommunications, ITST 2008 - Phuket, Thailand
Duration: 2008 Oct 222008 Oct 24

Publication series

NameProceedings - 2008 8th International Conference on Intelligent Transport System Telecommunications, ITST 2008

Other

Other2008 8th International Conference on Intelligent Transport System Telecommunications, ITST 2008
Country/TerritoryThailand
CityPhuket
Period08-10-2208-10-24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Transportation
  • Communication

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