ViTAN - Visualization Tool for Ad hoc Networks

http://www.acticom.de/vitan.html
http://mre.faculty.asu.edu/vitan
http://www-tlc.ing.unife.it/new_site/tools/vitan

Frank Fitzek, Patrick Seeling, Martin Reisslein, and Michele Zorzi

Summary:

The Visualization Tool for Ad Hoc Networks --- ViTAN is a tool for visualizing the connectivities and link qualities (capacities) between the terminals in wireless ad hoc networks. The tool takes the location of the terminals (specified by x and y coordinates) and the link qualities between the terminals (specified by positive integers) as input. The tool produces a visualization of the graph of the terminals' connectivities in the fig format, which in turn can be converted to any common graphic format. ViTAN does not evaluate the connectivities and link qualities in ad hoc networks. Instead, ViTAN takes the link qualities obtained from other tools, simulations, or analytical evaluations as input and graphically visualizes these link qualities and the resulting connectivities in the network. ViTAN facilitates the visual study of complex ad hoc networks by depicting higher link qualities with thicker edges and in darker grey shades. In addition, ViTAN draws the edges at different depth levels of the fig format depending on the corresponding link quality. This feature enables the selective display and visual study of the connectivities provided by links with a specific quality range.

Full Description:
Frank Fitzek, Patrick Seeling, Martin Reisslein, and Michele Zorzi
ViTAN - Visualization Tool for Ad hoc Networks. Technical Report acticom-02-003,
acticom GmbH, Telecomm. Research Center, ASU, Future Group, University of Ferrara,
Berlin, Germany, Tempe, AZ, Ferrara, Italy. November 2002, Revised February 2003.

Download ViTAN: ViTANv11.tar.gz

Sample ViTAN Outputs:
Chain topology
Bridge topology
Ring topology
Manhattan topology
Random topology with 24 terminals
Random topology with 44 terminals

Acknowledgment: Supported in part by the National
Science Foundation under Grant No. Career ANI-0133252 and
Grant No. ANI-0136774 as well as the State of Arizona through
the IT301 initiative.
Any opinions, findings and conclusions or recommendations
expressed in this material are those of the authors and do not
necessarily reflect the views of the National Science Foundation.