CRAWDAD metadata: usc/mobilib (v. 2008-07-24)

This dataset includes VPN session, DHCP log, and tcap log data, for 79 access points and several thousand users at USC.
[xml metadata]

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):


CRAWDAD metadata structure [what is CRAWDAD metadata]


[Dataset] usc/mobilib (v. 2008-07-24)

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version v. 2008-07-24
changes
the initial version
bibtex
@MISC{usc-mobilib-2008-07-24,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} data set usc/mobilib (v. 2008-07-24)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib},
  month = jul,  
  year = 2008
}
					
metadata last modified2008-08-20
summary
This dataset includes VPN session, DHCP log, and tcap log data, for 79 access points and several thousand users at USC.
release date2008-07-24
measurement start 2003-12-23
measurement end 2006-04-28
authorsWei-jen Hsu
Ahmed Helmy
license
Please note below the terms for using USC traces. You must agree to these terms.

1. While we have made effort to avoid errors in the process of collecting and 
manipulating the traces, we cannot guarantee complete correctness in both 
the traces and codes used. The users of the traces and codes should be aware 
that we do not guarantee the traces or codes are free of bugs, and assume 
some risks if you use them 'as is'.

2. Any futher work derived from the trace data should not make the MAC addresses 
visible in plain text. Instead, please use self-defined IDs to identify individual 
nodes if you have to do so in the work.
web site http://nile.cise.ufl.edu/MobiLib/USC_trace/
wiki go to the wiki page for this data set
keyword802.11, authentication log, syslog
measurement purposesUser Mobility Characterization
Usage Characterization
Human Behavior Modeling
network type802.11 infrastructure
environment
This data set was collected during 2003-2005 at the USC campus, 
where the number of WLAN users was over 4500.
network
At the time of collection, the USC wireless LAN had 79 APs.
collection
The authors collected the traces from three sources: VPN session log, 
DHCP logs, and trap logs.
hole
On Aug. 9, 2005 we stopped collecting the trace due to changes in our campus network, and we will resume trace collection after these changes.
tracesets included usc/mobilib/session (v. 2007-01-08)
usc/mobilib/dhcp (v. 2007-01-08)
usc/mobilib/trap (v. 2007-01-08)
usc/mobilib/association (v. 2008-07-24)

[Traceset] usc/mobilib/session (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version.
bibtex
@MISC{usc-mobilib-session-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace set usc/mobilib/session (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/session},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
This traceset contains logs for timestamps of (start|stop) of VPN sessions.
release date2007-01-08
measurement start 2005-04-19
measurement end 2005-08-08
measurement purposesUser Mobility Characterization
Usage Characterization
Human Behavior Modeling
methodology
These traces are logs for timestamps of (start|stop) of VPN sessions. 
At USC, wireless users must establish connections to a VPN server before 
they can use the network. Hence the session log contains periods of 
users potentailly using the network, with its private (dynamic) IP addresses.
parent datausc/mobilib (v. 2008-07-24)
traces included usc/mobilib/session/vpn (v. 2007-01-08)

[Traceset] usc/mobilib/dhcp (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version.
bibtex
@MISC{usc-mobilib-dhcp-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace set usc/mobilib/dhcp (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/dhcp},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
This traceset contains The DHCP log of the private IP assignments to MAC addresses.
release date2007-01-08
measurement start 2005-04-19
measurement end 2005-08-08
measurement purposesUser Mobility Characterization
Usage Characterization
Human Behavior Modeling
methodology
The DHCP log contains the private IP assignments to MAC addresses.
parent datausc/mobilib (v. 2008-07-24)
traces included usc/mobilib/dhcp/dhcp_log (v. 2007-01-08)

[Traceset] usc/mobilib/trap (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version.
bibtex
@MISC{usc-mobilib-trap-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace set usc/mobilib/trap (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/trap},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
This traceset contains the trap log of the (switch port, MAC address) association
when the user is online.
release date2007-01-08
measurement start 2005-04-19
measurement end 2005-08-08
measurement purposesUser Mobility Characterization
Usage Characterization
Human Behavior Modeling
methodology
The trap log contains the (switch port, MAC address) association 
when the user is online. However, if a MAC re-appears at the same switch port 
when it was last online, the trap log may NOT record this information. 
Hence trap logmust be used in conjunction with session log to discover 
all association sessions.

The file [Mapping] is the mapping between switch (IP, port) and the building code of USC campus.
USC campus map is available through university website.
limitation
WARNING: The trap log alone does NOT contain all user online events! 
If a user comes online at the same switch port repeatedly, it does NOT 
create separate trap log for each new online event. Also, the trap log 
only records the online epoch, but not online duration information of any kind.
hole
There is a hole in this data from Sep. 28, 2004 to Oct. 18, 2004.
download urlDownload (4.0KB [Maping])
(MD5 Hash: da52b5fd5f4048136a0b43fe4f9e4a47) from US UK AU
parent datausc/mobilib (v. 2008-07-24)
traces included usc/mobilib/trap/trap_log (v. 2007-01-08)
usc/mobilib/trap/old_trap_log (v. 2007-01-08)

[Traceset] usc/mobilib/association (v. 2008-07-24)

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version v. 2008-07-24
changes
the initial version.
bibtex
@MISC{usc-mobilib-association-2008-07-24,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace set usc/mobilib/association (v. 2008-07-24)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/association},
  month = jul,  
  year = 2008
}
					
metadata last modified2008-08-20
summary
This traceset contains "association history" traces for individual MAC addresses,
which consist of start times and end times of a MAC associated with various locations.
release date2008-07-24
measurement start 2005-04-19
measurement end 2006-04-28
measurement purposesUser Mobility Characterization
Usage Characterization
Human Behavior Modeling
methodology
From the raw traces (session, dhcp, and trap) it is possible to find out 
user locations (at per switch port granularity, which roughly corresponds 
to buildings on campus) when they are online.

This "association history" trace for individual MAC addresses 
consists of start times and end times of a MAC associated with various locations.
The location granularity is per switch port, roughly corresponding to buildings on campus.

There are three files related with generation of association history traces.
(1) session file: Records of start/stop of a association session, with the corresponding
private IP address.
(2) dhcp file: Records of private IPs to MAC address binding.
(3) trap file: Records of MAC address showing up at switch ports.

The conversion involves getting session durations from (1), then converting the IP
address in (1) to MAC address using (2), finally finding the locations of these MAC
addresses using (3).

The file [Processing code] is the program code we used for trace processing.
For more detail about the trace processing, please see [Memo of USC trace processing].
download urlDownload (8.0KB [Processing code])
(MD5 Hash: 7136cc58f87d49c7bb6a8ebbfaffc3b9) from US UK AU
download urlDownload (36KB [Memo of USC trace processing])
(MD5 Hash: 7321632842a2b683af0c0e43af0b9490) from US UK AU
parent datausc/mobilib (v. 2008-07-24)
traces included usc/mobilib/association/duration_log (v. 2007-01-08)
usc/mobilib/association/summer_duration_log (v. 2007-01-08)
usc/mobilib/association/spring_2006_duration_log (v. 2008-07-24)

[Trace] usc/mobilib/session/vpn (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version
bibtex
@MISC{usc-mobilib-session-vpn-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace usc/mobilib/session/vpn (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/session/vpn},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
VPN session logs from USC wireless network.
derivedfalse
release date2007-01-08
measurement start 2005-04-19
measurement end 2005-08-08
configuration
These logs of sessions are collected at the VPN server for wireless users at USC.
Before using the network, users must establish a VPN session to the server. The
"Start" and "Stop" timestamps in the trace represents the beginning and the end of
these VPN sessions.
format
The fields in each line of the trace are:
1. Day of the week: Sun, Mon, Tue, Wed, Thu, Fri, Sat
2. Month
3. Day
4. Time: HH:MM:SS
5. Action: "Start" or "Stop" of a session.
6. Private IP in USC network.
7. Public IP given to the host.
download urlDownload (2.8MB tgz)
(MD5 Hash: 746b4d293278d82d2ea8f33004314c7b) from US UK AU
parent datausc/mobilib/session (v. 2007-01-08)

[Trace] usc/mobilib/dhcp/dhcp_log (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version
bibtex
@MISC{usc-mobilib-dhcp-dhcp_log-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace usc/mobilib/dhcp/dhcp_log (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/dhcp/dhcp_log},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
Trace of DHCP logs from USC wirelss network.
derivedfalse
release date2007-01-08
measurement start 2005-04-19
measurement end 2005-08-08
configuration
This log contains the private IP assignments to MAC addresses. The listed
private IP is given to the MAC address at the indicated time.
format
The fields are:
1. Month
2. Day
3. Time: HH:MM:SS
4. Private IP in USC network
5. MAC address
download urlDownload (5.4MB tgz)
(MD5 Hash: e202e1d1c8297632099889793808a405) from US UK AU
parent datausc/mobilib/dhcp (v. 2007-01-08)

[Trace] usc/mobilib/trap/trap_log (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version
bibtex
@MISC{usc-mobilib-trap-trap_log-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace usc/mobilib/trap/trap_log (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/trap/trap_log},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
Trace of trap logs collected from USC wirelss network during 2005.
derivedfalse
release date2007-01-08
measurement start 2005-04-19
measurement end 2005-08-08
configuration
The trap log contains the (switch port, MAC address) association when the user
is online. This log records the approximate location of nodes, since the switch ports
correspond to buildings in USC network. However, if a node reappears repeatedly at
the same switch port, a new trap entry may not be generated. Hence the trap log is
mainly used as an indication of the "last seen" location of the node, and we assume it
does not move unless indicated otherwise by a new trap entry.
format
The fields are:
1. Month
2. Day
3. Time: HH:MM:SS
4. Switch IP
5. Switch port (switch IP + switch port is used to locate the node on USC
campus map, the Mapping file is also available online)
6. MAC address
download urlDownload (1.3MB tgz)
(MD5 Hash: 58d737cdb6bdcba64e246fcf2327815e) from US UK AU
parent datausc/mobilib/trap (v. 2007-01-08)

[Trace] usc/mobilib/trap/old_trap_log (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version
bibtex
@MISC{usc-mobilib-trap-old_trap_log-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace usc/mobilib/trap/old_trap_log (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/trap/old_trap_log},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
Trace of trap logs collected from USC wirelss network during 2003-2005.
derivedfalse
release date2007-01-08
measurement start 2003-12-23
measurement end 2005-04-17
configuration
The trap log contains the (switch port, MAC address) association when the user
is online. This log records the approximate location of nodes, since the switch ports
correspond to buildings in USC network. However, if a node reappears repeatedly at
the same switch port, a new trap entry may not be generated. Hence the trap log is
mainly used as an indication of the "last seen" location of the node, and we assume it
does not move unless indicated otherwise by a new trap entry.
format
The fields are:
1. Month
2. Day
3. Time: HH:MM:SS
4. Switch IP
5. Switch port (switch IP + switch port is used to locate the node on USC
campus map, the Mapping file is also available online)
6. MAC address
download urlDownload (7.5MB tgz)
(MD5 Hash: c709b8e0bcbee7d43f580f3d46d422fe) from US UK AU
parent datausc/mobilib/trap (v. 2007-01-08)

[Trace] usc/mobilib/association/duration_log (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version
bibtex
@MISC{usc-mobilib-association-duration_log-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace usc/mobilib/association/duration_log (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/association/duration_log},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
Trace of association history from USC wirelss network for one month.
derivedtrue
release date2007-01-08
measurement start 2005-04-20
measurement end 2005-05-19
configuration
For the processed trace, we have the association history for each MAC address in
a separate file.
format
The fields in these files are:
1. Start timestamp: The starting time of an association record. The timestamp is
defined as the elapsed time since Apr. 1, 2005 in unit of seconds.
2. Location: the building code of the association record.
3. Duration: duration of the association record, in unit of seconds.
download urlDownload (796KB tgz)
(MD5 Hash: d632fbcb3131ba46bff9f149346a1cdf) from US UK AU
parent datausc/mobilib/association (v. 2008-07-24)

[Trace] usc/mobilib/association/summer_duration_log (v. 2007-01-08)

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version v. 2007-01-08
changes
the initial version
bibtex
@MISC{usc-mobilib-association-summer_duration_log-2007-01-08,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace usc/mobilib/association/summer_duration_log (v. 2007-01-08)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/association/summer_duration_log},
  month = jan,  
  year = 2007
}
					
metadata last modified2008-07-23
summary
Trace of association history from USC wirelss network during 2005 summer.
derivedtrue
release date2007-01-08
measurement start 2005-04-19
measurement end 2005-08-08
configuration
For the processed trace, we have the association history for each MAC address in
a separate file. This trace is a longer processed trace for the whole summer. 
Please note that the summer vacation is from mid-May to mid-Aug for USC, and 
the WLAN activity significantly reduced during the summer vacation.
format
The fields in these files are:
1. Start timestamp: The starting time of an association record. The timestamp is
defined as the elapsed time since Apr. 1, 2005 in unit of seconds.
2. Location: the building code of the association record.
3. Duration: duration of the association record, in unit of seconds.
download urlDownload (1.3MB tgz)
(MD5 Hash: 7ef8015f4f578835704f041d73a67271) from US UK AU
parent datausc/mobilib/association (v. 2008-07-24)

[Trace] usc/mobilib/association/spring_2006_duration_log (v. 2008-07-24)

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version v. 2008-07-24
changes
the initial version
bibtex
@MISC{usc-mobilib-association-spring_2006_duration_log-2008-07-24,
  author = {Wei-jen Hsu and Ahmed Helmy},
  title = {{CRAWDAD} trace usc/mobilib/association/spring_2006_duration_log (v. 2008-07-24)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/usc/mobilib/association/spring_2006_duration_log},
  month = jul,  
  year = 2008
}
					
metadata last modified2008-08-20
summary
Trace of association history from USC wirelss network during Spring 2006.
derivedtrue
release date2008-07-24
measurement start 2006-01-25
measurement end 2006-04-28
configuration
This data set contains 25,481 users that appeared during Jan. 25, 2006 to Apr. 28, 2006. 
During this time frame, there were 137 unique locations in the trace. 

Each location roughly corresponds to a building on campus, and it is encoded 
in the format of IP_port (the actual switch port that controls traffic to/from this location).
format
The fields in these files are:
1. Start timestamp: The starting time of an association record. The timestamp is
defined as the elapsed time since Jan. 1, 2006 in unit of seconds.
2. Location: the format of IP_port (the actual switch port that controls 
traffic to/from this location). 
3. Duration: duration of the association record, in unit of seconds.

For more information on the trace format and the processing procedure, 
please refer to the documents [Memo Format USC06] and [Memo processing USC06].
download urlDownload (12KB [Memo Format USC06])
(MD5 Hash: 7fe6317c1989ac67c05de089e7224da9) from US UK AU
download urlDownload (12KB [Memo processing USC06])
(MD5 Hash: 7dc1cc7581a2bfcfed6c5a2fd99b8fa0) from US UK AU
download urlDownload (22MB gz)
(MD5 Hash: 45998bf483c9e0280c871cab8b360175) from US UK AU
parent datausc/mobilib/association (v. 2008-07-24)

[Author] Wei-jen Hsu

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emailwjhsu@ufl.edu
institutionUniversity of Florida
departmentComputer and Information Science and Engineering (CISE) Department
positionPh.D student
phone352-392-2744
web site http://nile.cise.ufl.edu/~weijenhs/
related data/toolsusc/mobilib (v. 2008-07-24)

[Author] Ahmed Helmy

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emailhelmy@ufl.edu
institutionUniversity of Florida
departmentComputer and Information Science and Engineering (CISE) Department
positionAssociate Professor
phone352-392-6860
web site http://www.cise.ufl.edu/~helmy/
related data/toolsusc/mobilib (v. 2008-07-24)

[Paper] hsu-associations

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category inproceedings
authorsWei-Jen Hsu
Ahmed Helmy
titleOn Modeling User Associations in Wireless LAN Traces on University Campuses
booktitleProceedings of the Second Workshop on Wireless Network Measurements (WiNMee 2006)
addressBoston, MA, USA
month--04--
year2006
download urlhttp://www.winmee.org/papers/01-05.pdf
keywordsmeasurement
keywordswireless
keywordsdartmouth_campus
keywordsibm_watson
keywordscrawdad
related data/toolsusc/mobilib

[Paper] hsu-behavioral-groups

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category inproceedings
authorsWei-jen Hsu
Debojyoti Dutta
Ahmed Helmy
titleMining behavioral groups in large wireless LANs
booktitleMobiCom '07: Proceedings of the 13th annual ACM international conference on Mobile computing and networking
year2007
pages338-341
addressMontreal, Quebec, Canada
keywordsmeasurement
keywordswireless
keywordsdartmouth_campus
keywordscrawdad
download urlhttp://doi.acm.org/10.1145/1287853.1287899
publisherACM Press
abstract
Recent years have witnessed significant growth in the adoption of portable 
wireless communication and computing devices (e.g., laptops, PDAs, smart 
phones) and large-scale deployment of wireless networks (e.g., cellular, 
WLANs). We envision that future usage of mobile devices and services will be 
highly personalized. Users will incorporate these new technologies into their 
daily lives, and the way they use new devices and services will reflect their 
personality and lifestyle. Therefore it is imperative to study and characterize 
the fundamental structure of wireless user behavior in order to model, manage, 
leverage and design efficient mobile networks and services. In this study, 
using our systematic TRACE approach, we analyze wireless users' behavioral 
patterns by extensively mining wireless network logs from two major university 
campuses. We represent the data using location-preference vectors, and utilize 
unsupervised learning (clustering) to classify trends in user behavior using 
novel similarity metrics. Matrix decomposition techniques are used to identify 
(and differentiate between) major patterns. We discover multi-modal user 
behavior and hundreds of distinct groups with unique behavioral patterns in 
both campuses, and their sizes follow a power-law distribution. Our methods and 
findings might provide new directions in network management and behavior-aware 
network protocols and applications, to name a few.
related data/toolsusc/mobilib

[Paper] hsu-impact

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category techreport
authorsWei-jen Hsu
Ahmed Helmy
titleIMPACT: Investigation of Mobile-user Patterns Across University Campuses using WLAN Trace Analysis
month--07--
year2005
institutionElectrical Engineering Department, University of Southern California
download urlhttp://nile.usc.edu/MobiLib/Trace_analysis_TR.pdf
abstract
We conduct the most comprehensive study of WLAN traces to date. Measurements 
collected from four major university campuses are analyzed with the aim of 
developing fundamental understanding of realistic user behavior in wireless 
networks. Both individual user and inter-node (group) behaviors are 
investigated and two classes of metrics are devised to capture the underlying 
structure of such behaviors. For individual user behavior we observe distinct 
patterns in which most users are 'on' for a small fraction of the time, the 
number of access points visited is very small and the overall online user 
mobility is quite low. We clearly identify categories of heavy and light users. 
In general, users exhibit high degree of similarity over days and weeks. For 
group behavior, we define metrics for encounter patterns and friendship. 
Surprisingly, we find that a user, on average, encounters less than 6\% of the 
network user population within a month, and that encounter and friendship 
relations are highly asymmetric. We establish that number of encounters follows 
a biPareto distribution, while friendship indexes follow an exponential 
distribution. We capture the encounter graph using a small world model, the 
characteristics of which reach steady state after only one day. We hope for our 
study to have a great impact on realistic modeling of network usage and 
mobility patterns in wireless networks.
keywordsmeasurement
keywordswireless
keywordsdartmouth_campus
keywordsibm_watson
keywordscrawdad
related data/toolsusc/mobilib

[Paper] hsu-mobility

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category inproceedings
authorsWei-jen Hsu
Thrasyvoulos Spyropoulos
Konstantinos Psounis
Ahmed Helmy
titleModeling Time-variant User Mobility in Wireless Mobile Networks
booktitleProceedings of the 26th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM)
month--03--
year2007
addressAnchorage, Alaska
publisherIEEE
download urlhttp://nile.cise.ufl.edu/~weijenhs/publication/INFOCOM_camera_final.pdf
keywordsmeasurement
keywordswireless
keywordsdartmouth_campus
keywordsibm_watson
keywordscrawdad
related data/toolsusc/mobilib

[Paper] hsu-nodal

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category inproceedings
authorsWei-Jen Hsu
Ahmed Helmy
titleOn Nodal Encounter Patterns in Wireless LAN Traces
booktitleProceedings of the Second Workshop on Wireless Network Measurements (WiNMee 2006)
addressBoston, MA, USA
month--04--
year2006
download urlhttp://www.winmee.org/papers/02-03.pdf
keywordsmeasurement
keywordswireless
keywordsdartmouth_campus
keywordsibm_watson
keywordscambridge_haggle
keywordscrawdad
related data/toolsusc/mobilib

[Paper] hsu-profile-cast

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category article
authorsWei-jen Hsu
Debojyoti Dutta
Ahmed Helmy
titleProfile-cast: behavior-aware mobile networking
journalSIGMOBILE Mob. Comput. Commun. Rev.
keywords80211
keywordscrawdad
keywordsusc_mobilib
keywordsmeasurement
keywordsmobility
keywordsnetwork-measurement
keywordswireless
keywordswireless-lan
volume12
year2008
issn1559-1662
pages52-54
download urlhttp://doi.acm.org/10.1145/1374512.1374529
publisherACM
addressNew York, NY, USA
related data/toolsusc/mobilib

[Paper] hsu-structure-poster

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Poster presentation at MobiCom 2006
category misc
authorsWeijen Hsu
Debojyoti Dutta
Ahmed Helmy
titleMobiCom Poster: On the Structure of User Association Patterns in Wireless LANs
year2006
month--09--
download urlhttp://portal.acm.org/citation.cfm?id=1282239
keywordsmeasurement
keywordswireless
keywordsdartmouth_campus
keywordscrawdad
related data/toolsusc/mobilib