30-second pitch

The Random Waypoint (RWP) mobility model, though popular, can lead to incredibly inaccurate results when evaluating the performance of wireless ad-hoc network protocols and applications. STRAW (STreetRAndom Waypoint) provides more accurate simulation results by using a vehicular mobility model on real US cities, based on the operation of real vehicular traffic. STRAW's current implemenation is written for the highly efficient JiST/SWANS discrete-event simulator, and is open source and available for free.

STRAW is part of the C3 (Car-to-Car Cooperation) project.


Screen shot of STRAW with the enhanced visualization tool.

Long Introduction

The community is increasingly interested in developing network protocols and services for vehicular ad-hoc networks (VANETs). Due in part to the prohibitive cost of deploying and implementing such systems in the real world, most research in this area relies on simulation for evaluation. A key component of these simulations is a realistic vehicular mobility model that ensures conclusions drawn from such experiments will carry through to real deployments.

Unlike many other mobile ad-hoc environments where node movement occurs in an open field (such as conference rooms and cafés), vehicular nodes are constrained to streets often separated by buildings, trees or other objects. Street layouts and different obstructions increase the average distance between nodes and, in most cases, reduce the overall signal strength received at each node. We argue that a more realistic mobility model with the appropriate level of detail for vehicular networks is critical for accurate network simulation results. The STRAW (STreet RAndom Waypoint) mobility model addresses this issue by constraining node movement to streets defined by map data for real US cities and limit their mobility according to vehicular congestion and simplified traffic control mechanisms.

We have shown that the performance of wireless network protocols in urban environments is dramatically different than that in an open-field Random Waypoiint model and, further, that the type of urban environment can significantly impact the performance of a protocol. We also argue that an integrated vehicular traffic and network traffic simulator is essential when VANET applications are expected to influence the mobility of participating vehicles.

People

Faculty

Graduate Students

Resources

Version history


Upcoming features


If you would like to suggest features, to have access to beta software or otherwise participate in this project, please contact . Also, if you have extended STRAW, please consider making your code public. I have created a repository in SourceForge (see below).

SWANS/STRAW Development

As of 2/21/2006, I have created a SourceForge project, SWANS++, to serve as a central access point for SWANS development and extensions. You will currently find files releases and anonymous CVS access to the Ceratias visualization tool and STRAW.

If you have developed extensions for SWANS or would like to extend STRAW or Ceratias, please use the SourceForge site and request to be added to the project. By working together and openly, we can improve SWANS and provide a much richer simulation environment for the community.

Wish List

There are a number of projects related to this work that I would like to see happen, but I don't have the time to do myself. Please contact me with ideas to add to this list and/or links to projects that address any of these issues. This site has gotten over 1,000 hits in the first few months, so I'd like it to be a resource for all developers in the JiST/SWANS community.

Publications

Frequently Asked Questions