Realistic Mobility Models for Vehicular Ad hoc Network (VANET) Simulations

Sujesh P LalSchool of Computer Science

VIT University,2007

Guide: Prof H. R. Vishwakarma 01.07.2009 sujesh.lall@gmail.com

Outline

•Introduction

•The Architecture

•Performance Evaluation

•Conclusions

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Introduction

• VANET – Vehicular Ad Hoc Network.

• Provides ▫ communications among nearby vehicles, and nearby

fixed equipment.▫ traffic information.▫safety and comfort for passengers.▫ multimedia and internet connectivity facilities for

passengers.▫ A facility for automatic payment for parking lots and

toll collection

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Intro…

•Multi-hop data delivery through VANET is complicated by the fact that vehicular networks are highly mobile and frequently disconnected.

•Existing data delivery schemes either pose too much control or no control at all on mobility, and hence not suitable for vehicular networks.

•Most research in VANET relies on simulations for evaluation.

Intro…

•Realistic mobility models▫MOVE ▫SUMO

•Why Realistic mobility models?▫Prohibitive cost of deploying and

implementing such a system.▫Easy to test and evaluate network

protocols.▫Provides generic simulation scenarios.

MOVE•MOVE - MObility model generator for

VEhicular networks.•Provides

▫An environment to quickly pinpoint incorrect details

▫Manage details overhead.•Allows users to rapidly generate realistic

mobility models for VANET Simulation•MOVE is built on top of an open source

micro traffic simulator SUMO

MOVE…

•Provides

▫A facility to conveniently incorporate realistic road maps

▫GUI▫Generates realistic simulation scenarios

with out writing simulation scripts

Architecture of MOVE

MOVE - features

•Implemented in JAVA•Runs on SUMO

•Main components▫Map editor▫Vehicle movement editor

EVALUATION

•Factors that directly affect VANET performance▫Node location▫Density▫Direction▫Unexpected events like accidents▫Road topology

Evaluation…

•CASE STUDIES

▫Existence of traffic lights▫Driver route choice▫Overtaking behavior

The VADD Model•A vehicle knows its location by GPS device , and

The packet delivery information such as source id, source location, packet generate time, destination location, expiration time, etc.

•The most important issue is to select a forwarding path with the smallest packet delivery delay.

•Although geographical forwarding approaches such as GPSR which always chooses the next

hop closer to the destination, it may not be suitable for sparsely connected vehicular networks.

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Performance Evaluation

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A snapshot of the simulation setup area

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Conclusions• Different from existing carry and forward solutions,

we make use of the predicable vehicle mobility, which is limited by the traffic pattern and road layout.

• MOVE allows users to quickly generate realistic model for vehicular network simulations.

• The details of a mobility model such as existence of traffic lights, driver route choice, and car overtaking behavior can have a significant impact on the simulation results.

• As future work, we will consider using vehicles from nearby road, although this will be more complex.

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Thanks…..