Modeling vanet deployment in urban settings

The growing interest in wireless Vehicular Ad Hoc Networks (VANETs) has prompted greater research into simulation models that better reflect urban VANET deployments. Still, we lack a systematic understanding of the required level of simulation details in modeling various real-world urban constraints. In this work, we developed a series of simulation models that account for street layout, traffic rules, multilane roads, acceleration-deceleration, and RF attenuation due to obstacles. Using real and controlled synthetic maps, we evaluated the sensitivity of the simulation results toward these details. Our results indicate that the delivery ratio and packet delays in VANETs are more sensitive to the clustering effect of vehicles at intersections and their acceleration/deceleration. The VANET performance appears to be only marginally affected by the simulation of multiple lanes and careful synchronization at traffic signals. We also found that the performance in dense VANETs improves significantly when routing decisions are limited to a wireless backbone of mesh nodes, whereas in sparse VANETs, performance improves when vehicles also participate in ad hoc routing. Finally, through measurement and analysis of signal strengths around urban city blocks, we show that the effect of signal attenuation due to physical obstacles can potentially be parameterized in simulations. Our work provides a starting point for further understanding and development of more accurate VANET simulation model.

[1]  Tracy Camp,et al.  A survey of mobility models for ad hoc network research , 2002, Wirel. Commun. Mob. Comput..

[2]  Vanessa Ann Davies,et al.  EVALUATING MOBILITY MODELS WITHIN AN AD HOC NETWORK , 2000 .

[3]  George L. Lyberopoulos,et al.  Mobility modeling in third-generation mobile telecommunications systems , 1997, IEEE Wirel. Commun..

[4]  Matthew J. Barth,et al.  A transmission-interval and power-level modulation methodology for optimizing inter-vehicle communications , 2004, VANET '04.

[5]  Tuna Tugcu,et al.  How a new realistic mobility model can affect the relative performance of a mobile networking scheme z , 2004 .

[6]  Ahmed Helmy,et al.  The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks , 2003, Ad Hoc Networks.

[7]  Songwu Lu,et al.  Design and implementation of a TCP-friendly transport protocol for ad hoc wireless networks , 2002, 10th IEEE International Conference on Network Protocols, 2002. Proceedings..

[8]  Amit Kumar Saha,et al.  Modeling mobility for vehicular ad-hoc networks , 2004, VANET '04.

[9]  Eyal de Lara,et al.  Simplified simulation models for indoor MANET evaluation are not robust , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[10]  Ray Jain,et al.  The art of computer systems performance analysis - techniques for experimental design, measurement, simulation, and modeling , 1991, Wiley professional computing.

[11]  Jean-Yves Le Boudec,et al.  Perfect simulations for random trip mobility models , 2005, 38th Annual Simulation Symposium.

[12]  Seppo Hämäläinen,et al.  ADVANCED WCDMA RADIO NETWORK SIMULATOR , 1999 .

[13]  Christian Bettstetter,et al.  Smooth is better than sharp: a random mobility model for simulation of wireless networks , 2001, MSWIM '01.

[14]  Fabián E. Bustamante,et al.  An integrated mobility and traffic model for vehicular wireless networks , 2005, VANET '05.

[15]  Kevin C. Almeroth,et al.  Towards realistic mobility models for mobile ad hoc networks , 2003, MobiCom '03.

[16]  David A. Maltz,et al.  DSR: the dynamic source routing protocol for multihop wireless ad hoc networks , 2001 .