CRAWDAD snu/wow_via_wimax

Citation Author(s):
Seoul National University
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Last updated:
Sun, 08/01/2010 - 08:00
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Tcpdump traces from Korean Mobile WiMAX gaming network.

These tcpdump traces were captured by Xiaofei Wang at Seoul National University during the study of online gaming via Korean WiBro (Mobile WiMAX) network.

date/time of measurement start: 2008-12-19 

date/time of measurement end: 2009-04-13 

collection environment: The measurement device is an Apple Macbook Pro with Intel Core 2 Duo CPU T8300, 2G RAM, and Nvidia 8800GT graphic card. The Macbook is equipped with a USB dongle based WiMAX network interface card (NIC). Also the XRO7000 Diagnostic Monitor from the XRONet is used in order to capture low layer behaviors of WiMAX. For higherlayer measurement, tcpdump-based Wireshark and TCPTrace are used. 

data collection methodology: In order to comprehensively evaluate WoW performance via WiMAX, three routes in Seoul were chosen:

1) subway: subway line 2, one of the most popular metro lines in Seoul. In the subway line 2, one WiMAX BS is deployed at almost every subway station, and one or more repeaters are installed along the subway tunnel between adjacent stations to enhance the radio signal between SSs and BSs. Hence, whenever, he subway trains moves across between two stations, there should be HO(s).

2) bus: bus 501 from Seoul National University (SNU) to Seoul Railway Station; this route passes by a few university campuses, several apartment complexes, one tunnel, the Han River bridge, shopping malls, etc. While the bus goes through the Seoul metropolitan area, the SS inside the bus performs HOs among BSs.

3) Campus: the WoW performance is measured inside the SNU campus, where only one BS and a few repeaters cover the entire area.

sanitization: The payload was cutoff by resampling (tcpreplay and tcpdump), and the header was anonymized by tcprewrite.

reference: wang:measurement



Tcpdump traces from Korean Mobile WiMAX gaming network

  • file: wow_via_wimax.tar.gz

snu/wow_via_wimax/tcpdump Trace

  • wow_via_wimax: Tcpdump traces captured by Xiaofei Wang at Seoul National University during the study of online gaming via Korean WiBro (Mobile WiMAX) network. 

The files in this directory are a CRAWDAD dataset hosted by IEEE DataPort. 

About CRAWDAD: the Community Resource for Archiving Wireless Data At Dartmouth is a data resource for the research community interested in wireless networks and mobile computing. 

CRAWDAD was founded at Dartmouth College in 2004, led by Tristan Henderson, David Kotz, and Chris McDonald. CRAWDAD datasets are hosted by IEEE DataPort as of November 2022. 

Note: Please use the Data in an ethical and responsible way with the aim of doing no harm to any person or entity for the benefit of society at large. Please respect the privacy of any human subjects whose wireless-network activity is captured by the Data and comply with all applicable laws, including without limitation such applicable laws pertaining to the protection of personal information, security of data, and data breaches. Please do not apply, adapt or develop algorithms for the extraction of the true identity of users and other information of a personal nature, which might constitute personally identifiable information or protected health information under any such applicable laws. Do not publish or otherwise disclose to any other person or entity any information that constitutes personally identifiable information or protected health information under any such applicable laws derived from the Data through manual or automated techniques. 

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Xiaofei Wang, snu/wow_via_wimax, , Date: 20091019

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File snu-wow_via_wimax-readme.txt1.56 KB

These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

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