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CMU-GM Collaborative Research Lab Rahul Mangharam, D. Weller, D. Stancil, Raj Rajkumar Carnegie Mellon University Jay Parikh, General Motors.

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Presentation on theme: "CMU-GM Collaborative Research Lab Rahul Mangharam, D. Weller, D. Stancil, Raj Rajkumar Carnegie Mellon University Jay Parikh, General Motors."— Presentation transcript:

1 CMU-GM Collaborative Research Lab Rahul Mangharam, D. Weller, D. Stancil, Raj Rajkumar Carnegie Mellon University Jay Parikh, General Motors ACM VANET, Cologne, Germany. 2 September 2005 Geographic Routing For Multi-hop Wireless Vehicular Networks

2 CMU-GM Collaborative Research Lab Experimental Multi-hop Vehicular Network Test-bed Mobile Nodes GPS Differential GPS reference station beacons 1.Vehicle-to-Vehicle Multi-hop 2.Vehicle-to-Mobile Gateway 3.Vehicle-to-Infrastructure 5.9 GHz DSRC Dedicated Short Range Communications Between vehicles 1XRTT Cellular Data Network Internet Remote Monitoring of Experiment

3 CMU-GM Collaborative Research Lab Vehicular Networking Application Categories 1.Safety Alerts –Sudden Breaking –Airbag deployment –Skidding 2.Traffic Congestion Probing –Travel Time –Dynamic Route Planning –Road Condition Notification 3.Interactive Applications –Social Networking –Multimedia Content Exchange –Advertising

4 CMU-GM Collaborative Research Lab GrooveNet Test Kit 5.8 GHz ANTENNAS GPS ANTENNA LAPTOP w/ RADIO CARD HEADPHONES W/ MICROPHONE GPS RECEIVER POWER CORD (12 DC) WEB CAM Driven 5 vehicles over 400 miles – Urban, Rural and Highway Over 625,000 link measurements

5 CMU-GM Collaborative Research Lab Broadcast Scenarios Highway Driving City Driving Rural Driving Path with Intermediate points Static Source Routing Radial Broadcast Bounding Box Controlled Flooding

6 CMU-GM Collaborative Research Lab GrooveSim: Hybrid Simulator for Vehicular Networks 1.Drive: On-road communication, tracking, logging Over 400 miles driven with 5 vehicles Test Robustness of Protocol 2.Simulate: Over 5,000 concurrent vehicles Anywhere in the US Scalability & Performance Analysis over City, Rural, Highway 3.Playback: Visual Performance Analysis Networking, Propagation, GPS Performance 4.Hybrid Simulate: Mix Real & Virtual Vehicles Effect of real Traffic and Channel 5.Test Generation: Easy Large-scale test setup Five Modes of Operation

7 CMU-GM Collaborative Research Lab Vehicular Network Modeling Mobility Model –Speed: Uniform, Street Speed, Markov Model, Load-based model Trip Model –Random walk, Explicit Origin-Destination, Distributed Origin-Dest Communication Model –Channel Model and Multiple Access Model Traffic Model –Start time distribution, use real or synthetic traces

8 CMU-GM Collaborative Research Lab Degrees of Freedom & Metrics Degrees of Freedom 1.Start time 2.Speed 3.Vehicle density 4.Travel direction 5.Size of routing region 6.Message rebroadcast frequency 7.Transmission power Performance Metrics 1.Message Penetration Distance 2.Message Delay 3.Message Lifetime

9 CMU-GM Collaborative Research Lab Minimum Weight Routing 1,000 Vehicles in Chicago, IL suburb Routed with Minimum Cost Routing

10 CMU-GM Collaborative Research Lab Minimum Weight Routing (2) Vehicles migrate to roads with higher speed limits

11 CMU-GM Collaborative Research Lab Performance: Message Propagation Distance

12 CMU-GM Collaborative Research Lab Performance: Message Lifetime

13 CMU-GM Collaborative Research Lab Bounding Box Size # Active Vehicles Message Delay (sec) Performance: Message Delay

14 CMU-GM Collaborative Research Lab

15 GrooveSim is Easy to Use


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