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

1. Realistic Mobility Models for Vehicular Ad hoc Network (VANET) Simulations Sujesh P Lal School of Computer Science VIT University,2007 Guide: Prof H. R. Vishwakarma 01.07.2009sujesh.lall@gmail.com

2. Outline • Introduction • The Architecture • Performance Evaluation • Conclusions 1/19

3. 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 2/19

4. Intro… • Multi-hop data delivery through VANET iscomplicated by the fact that vehicular networks are highly mobile and frequentlydisconnected. • 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.

5. 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.

6. 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

7. MOVE… • Provides • A facility to conveniently incorporate realistic road maps • GUI • Generates realistic simulation scenarios with out writing simulation scripts

8. Architecture of MOVE

9. MOVE - features • Implemented in JAVA • Runs on SUMO • Main components • Map editor • Vehicle movement editor

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

11. Evaluation… • CASE STUDIES • Existence of traffic lights • Driver route choice • Overtaking behavior

12. 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. 3/19

13. Performance Evaluation 15/19

14. A snapshot of the simulation setup area 16/19

15. Conclusions • Different from existing carryand forward solutions, we make use of the predicable vehiclemobility, 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 nearbyroad, although this will be more complex. 19/19

16. Thanks…..