Note: This metadata was prepared by the CRAWDAD team and verified by the data set (or tool) authors. We have made every effort to ensure its accuracy, but urge all users to consider the metadata and data carefully and be sure that their use in research is consistent with the nature and limitations of the data. We welcome any corrections.
This metadata was prepared based on the following reference(s):
|
version
| v. 2008-04-30 |
|
changes
| the initial version. |
|
bibtex
|
@MISC{tools-analyze-pcap-wifidelity-2008-04-30,
author = {Aaron Schulman and Dave Levin and Neil Spring},
title = {{CRAWDAD} tool tools/analyze/pcap/wifidelity (v. 2008-04-30)},
howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/tools/analyze/pcap/wifidelity},
month = apr,
year = 2008
}
|
| metadata last modified | 2008-05-16 |
| summary | The Wifidelity package consists of two tools to identify the completeness and accuracy of 802.11 packet traces. "tracestats" uses 802.11 sequence numbers to quantify completeness, and the "plotscore" script generates a T-Fi plot: an at-a-glance, heatmap visualization of completeness versus load. "tracetiming" uses AP Beacon intervals to quantify packet timestamp accuracy and "plottiming" produces a line plot of timestamp accuracy. |
| release date | 2008-04-30 |
|
web site
| http://www.cs.umd.edu/projects/wifidelity/ |
|
wiki
|
go to the wiki page for this tool
|
| keyword | 802.11, 802.11 frames, RFMON, packet trace, signal strength, tcpdump |
| authors | Aaron Schulman
Dave Levin
Neil Spring
|
| license | This software is released under the GNU GPL. |
| build | - Requirements:
plotscore, plottiming:
gnuplot >= 4.0
tracestats, tracetiming:
Perl with 64 bit support
Perl lib Net::Pcap
- Files:
tracestats - print trace statistics on beacon intervals
tracetiming - print trace timing information on beacon intervals
Wifidelity/Pcap.pm - Pcap interface
Wifidelity/Stats.pm - Statistics
Wifidelity/80211.pm - 802.11 constants
Wifidelity/Timing.pm - Timing |
| output | - plotscore, plottiming:
.eps file in the same folder as the input data file |
| parameters | The default package can only parse pcap traces. If you would like to add
a parser for another trace type follow the interface in Pcap.pm. In the future
this procedure will be simplified. |
| usage | tracestats:
see ./tracestats -h
tracetiming:
see ./tracetiming -h
plotscore:
./plotscore <stats-file> "<title>"
plottiming:
./plottiming <timing-file> "<title>" <Min us>:<Max us> |
| example | For sample T-Fi plots, please visit the tool homepage ( http://www.cs.umd.edu/projects/wifidelity ) |
| algorithm | Packet traces from 802.11 wireless networks are incomplete
both fundamentally, because antennas do not pick up every transmission,
and practically, because the hardware and software of collection may be
under provisioned. One strategy toward improving the completeness of
a trace of wireless network traffic is to deploy several monitors; these are
likely to capture (and miss) different packets. Merging these traces into
a single, coherent view requires inferring access point (AP) and client
behavior; these inferences introduce errors.
The WiFidelity tool implements methods to evaluate the fidelity of merged
and independent wireless network traces. We show that wireless traces
contain sufficient information to measure their completeness and clock
accuracy. Specifically, packet sequence numbers indicate when packets
have been dropped, and AP beacon intervals help determine the accuracy
of packet timestamps. We also show that trace completeness and clock
accuracy can vary based on load. We apply these metrics to evaluate
fidelity in two ways: (1) to visualize the completeness of different 802.11
traces, which we show with several traces available on CRAWDAD and
(2) to estimate the uncertainty in the time measurements made by the
individual monitors. |
| download url | Download (16KB gz)
(MD5 Hash: e72e11d6b548cc1067d6381dd355635e) from US UK |
|
category
| inproceedings |
| authors | Aaron Schulman
Dave Levin
Neil Spring
|
| title | On the Fidelity of 802.11 Packet Traces |
| booktitle | PAM 2008, 9th Passive and Active Measurement conference |
| year | 2008 |
| month | --04-- |
| pages | 132-141 |
| download url | http://www.cs.umd.edu/projects/wifidelity/papers/pam08-fidelity.pdf |
| address | Cleveland, Ohio |
| abstract | Packet traces from 802.11 wireless networks are incomplete both fundamentally,
because antennas do not pick up every transmission, and practically, because
the hardware and software of collection may be under provisioned. One strategy
toward improving the completeness of a trace of wireless network traffic is to
deploy several monitors; these are likely to capture (and miss) different
packets. Merging these traces into a single, coherent view requires inferring
access point (AP) and client behavior; these inferences introduce errors. In
this paper, we present methods to evaluate the fidelity of merged and
independent wireless network traces. We show that wireless traces contain
sufficient information to measure their completeness and clock accuracy.
Specifically, packet sequence numbers indicate when packets have been dropped,
and AP beacon intervals help determine the accuracy of packet timestamps. We
also show that trace completeness and clock accuracy can vary based on load. We
apply these metrics to evaluate fidelity in two ways: (1) to visualize the
completeness of different 802.11 traces, which we show with several traces
available on CRAWDAD and (2) to estimate the uncertainty in the time
measurements made by the individual monitors. |
| keywords | measurement |
| keywords | wireless |
| keywords | tools_analyze_pcap_wifidelity |
| keywords | crawdad |
| related data/tools | tools/analyze/pcap/wifidelity
|
