This project focusses on the analysis of wireless networks. Specifically, we research various aspects of congestion and traffic flows and its effects on wireless network protocols. This is a collaborative effort between the
Mobility Management and Networking (MOMENT) Lab and the
Networking and Multimedia Systems (NMSL) Lab.
Ramya Raghavendra, Elizabeth M. Belding, Dina Papagiannaki, Kevin C. Almeroth.
Understanding Handoffs in Large IEEE 802.11 Wireless Networks. In the Proceedings of the
Internet Measurement Conference, San Diego, CA, October 2007. [
pdf]
Stefan Karpinski, Elizabeth M. Belding, and Kevin C. Almeroth.
Towards Realistic Models of Wireless Workload. In the Proceedings of
WinMee 2007. [
pdf]
Stefan Karpinski, Elizabeth M. Belding, and Kevin C. Almeroth.
Wireless Traffic: The Failure of CBR Modeling. In the Proceedings of
Broadnets 2007. [
pdf]
Amit P. Jardosh, Kimaya Mittal, Krishna Ramachandran, Elizabeth M. Belding, and Kevin C. Almeroth.
IQU: Practical Queue-Based User Association Management for WLANs". To appear in the
Proceedings of MOBICOM, Los Angeles, CA, September 2006.[
ps] [
pdf]
Amit P. Jardosh, Krishna N. Ramachandran, Kevin C. Almeroth, and Elizabeth M. Belding-Royer.
Understanding Congestion in IEEE 802.11b Wireless Networks. In the
Proceedings of the Internet Measurement Conference, Berkeley, CA, October 2005. [
ps] [
pdf] (Note: This version of the paper is an updated version of the paper included in the IMC 2005 proceedings.)
Amit P. Jardosh, Krishna N. Ramachandran, Kevin C. Almeroth, and Elizabeth M. Belding-Royer.
Understanding Link-layer Behavior in Congested IEEE 802.11b Wireless Networks. In the
Proceedings of the ACM SIGCOMM Workshop on Experimental Approaches to Wireless Network Design and Analysis, Philadelphia, PA, August 2005. [
pdf]
The data traces used for our analysis are available
here.
Visit
http://moment.cs.ucsb.edu/conan/scuba for a video demo of SCUBA, as well as a link to the 3D version of SCUBA.
This section will list a set of tools that one can use to extract useful information from our or any wireless network data traces.
