CRAWDAD metadata: unimi/pmtr (v. 2008-12-01)

This dataset contains mobility traces from 44 mobile devices at University of Milano. The data was collected in November 2008.
[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] unimi/pmtr (v. 2008-12-01)

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version v. 2008-12-01
changes
the initial version
bibtex
@MISC{unimi-pmtr-2008-12-01,
  author = {Paolo Meroni and Sabrina Gaito and Elena Pagani and Gian Paolo Rossi},
  title = {{CRAWDAD} data set unimi/pmtr (v. 2008-12-01)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/unimi/pmtr},
  month = dec,  
  year = 2008
}
					
metadata last modified2010-09-10
summary
This dataset contains mobility traces from 44 mobile devices at University of 
Milano. The data was collected in November 2008.
release date2008-12-01
measurement start 2008-11-13
measurement end 2008-12-01
authorsPaolo Meroni
Sabrina Gaito
Elena Pagani
Gian Paolo Rossi
web site http://www.crawdad.org/unimi/pmtr
wiki go to the wiki page for this data set
keywordlocation, sensor network, social network
measurement purposesUser Mobility Characterization
Positioning Systems
Social Network Analysis
Human Behavior Modeling
Localization
Opportunistic Connectivity
network typesocial network
network typeDTN (Delay or Disruption Tolerant Network)
environment
The experiment lasted for 19 days in November 2008. 49 Pocket Mobile Trace
Recorders (PMTRs) were distributed to faculty members, PhD students, and 
technical staff. These people work in offices and laboratories located in a 
three-floor building, roughly 200x100 m large and take lunches or coffee breaks
in a nearby cafeteria. Some of the classes take place in a different building 
3.5 Km away. These locations were equipped with fixed PMTRs.
network
The need to observe and record very short contact periods that arise from human
mobility motivated the design of a specific custom hardware device for trace 
recording. Pocket Mobile Trace Recorders (PMTRs) have been designed to operate 
with beaconing times ranging from 1 sec. to some configurable value, which 
depends on the mobility environment we wish to observe. The PMTR architecture 
uses the Cypress CY8C29566 micro-controller and the radio module AUREL, model 
RTX-RTLP. The radio range has been limited to 10 meters in order to reduce the 
power consumption and to maintain multi-hop paths between end-systems. This 
combination allows a very low power consumption that lets the experiments last 
for the required time with common batteries NiMh, AA 1.2 V. Each PMTR has a 
1 MB flash memory where more than 50K contacts can be stored. The PMTR 
implements a CSMA non-persistent MAC protocol. The local clock value is set at 
the configuration time. Each PMTR uses a USB interface to communicate with the 
Pocket Viewer PC, running the Desktop application software, which has been used
to configure the devices, collect the recorded data at the end of the 
experiment, and support data analysis and device monitoring.
collection
Recorded data was collected at the end of the experiment. Symmetric contacts,
that is contacts recorded by both devices approximately at the same time,
were kept for analysis; unidirectional contact records were discarded. This 
resulted in a collection of 11895 contacts between 44 PMTRs.
limitation
hole
At the end of the experiment, 5 PMTRs (with IDs 5, 8, 15, 30 and 35) had not
registered any contacts due to hardware failure.

Only symmetric contact records from other PMTRs were kept. One-sided contact
records were discarded.
error
note
tracesets included unimi/pmtr/txt (v. 2008-12-01)

[Traceset] unimi/pmtr/txt (v. 2008-12-01)

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version v. 2008-12-01
changes
the initial version.
bibtex
@MISC{unimi-pmtr-txt-2008-12-01,
  author = {Paolo Meroni and Sabrina Gaito and Elena Pagani and Gian Paolo Rossi},
  title = {{CRAWDAD} trace set unimi/pmtr/txt (v. 2008-12-01)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/unimi/pmtr/txt},
  month = dec,  
  year = 2008
}
					
metadata last modified2010-09-10
summary
This traceset contains mobility traces from 44 mobile devices at University of 
Milano. The data was collected in November 2008.
release date2008-12-01
measurement start 2008-11-13
measurement end 2008-12-01
download urlDownload (84KB gz)
(MD5 Hash: 4bfd394f34aa1aedac41c0e5fc473121) from US UK AU
parent dataunimi/pmtr (v. 2008-12-01)
traces included unimi/pmtr/txt/gz (v. 2008-12-01)

[Trace] unimi/pmtr/txt/gz (v. 2008-12-01)

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version v. 2008-12-01
changes
the initial version
bibtex
@MISC{unimi-pmtr-txt-gz-2008-12-01,
  author = {Paolo Meroni and Sabrina Gaito and Elena Pagani and Gian Paolo Rossi},
  title = {{CRAWDAD} trace unimi/pmtr/txt/gz (v. 2008-12-01)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/unimi/pmtr/txt/gz},
  month = dec,  
  year = 2008
}
					
metadata last modified2010-09-10
summary
This trace contains contact records from 44 mobile devices. The records were
collected at University of Milano in November 2008.
derivedfalse
release date2008-12-01
measurement start 2008-11-13
measurement end 2008-12-01
format
The format of the file is:

id_source id_destination t_start_contact t_end_contact

where times are expressed in seconds, starting from 0 (start of the experiment).
parent dataunimi/pmtr/txt (v. 2008-12-01)

[Author] Paolo Meroni

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emailpaolo.meroni@unimi.it
institutionUniversità degli Studi di Milano
departmentComputer Science
positionPh.D. Student
addressvia Comelico 39, I-20135 Milano, Italy
related data/toolsunimi/pmtr (v. 2008-12-01)

[Author] Sabrina Gaito

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emailgaito@dsi.unimi.it
institutionUniversità degli Studi di Milano
departmentComputer Science
positionAssistant Professor
addressvia Comelico 39, I-20135 Milano, Italy
phone+39 02 5031 6282
fax+39 02 5031 6276
web site http://homes.dsi.unimi.it/~gaito/
related data/toolsunimi/pmtr (v. 2008-12-01)

[Author] Elena Pagani

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emailpagani@dico.unimi.it
institutionUniversità degli Studi di Milano
departmentComputer Science
positionAssociate Professor
addressvia Comelico 39, I-20135 Milano, Italy
phone+39 02 5031 6271
fax+39 02 5031 6276
web site http://nptlab.dico.unimi.it/index.php/people/68-elena-pagani.html
related data/toolsunimi/pmtr (v. 2008-12-01)

[Author] Gian Paolo Rossi

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emailrossi@dico.unimi.it
institutionUniversità degli Studi di Milano
departmentComputer Science
positionProfessor
addressvia Comelico 39, I-20135 Milano, Italy
phone+39 02 5031 6272
fax+39 02 5031 6276
web site http://nptlab.dico.unimi.it/index.php/people/63-gian-paolo-rossi.html
related data/toolsunimi/pmtr (v. 2008-12-01)

[Paper] gaito-finegrained

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category inproceedings
authorsSabrina Gaito
Elena Pagani
Gian Paolo Rossi
titleFine-Grained Tracking of Human Mobility in Dense Scenarios
booktitle6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON) - Poster Session
pages40-42
publisherIEEE
year2009
addressRoma (Italy)
month--06--
download urlhttp://homes.dico.unimi.it/~pagae/elena/articoli/abstract-secon09.pdf
keywordsmeasurement
keywordswireless
keywordsunimi_pmtr
related data/toolsunimi/pmtr

[Paper] gaito-opportunistic

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category inproceedings
authorsSabrina Gaito
Elena Pagani
Gian Paolo Rossi
titleOpportunistic Forwarding in Workplaces
booktitleProceedings of 2nd ACM SIGCOMM Workshop on Online Social Networks
pages55-60
year2009
addressBarcelona, Spain
month--08--
publisherACM
download urlhttp://homes.dico.unimi.it/~pagae/elena/articoli/WOSN_09.pdf
abstract
So far, the search for Opportunistic Network (ON) applications has focused on 
urban/rural scenarios where the combined use of mobility and the 
store-carry-and-forward paradigm helpfully recovers from network partitions and 
copes with node sparsity. This paper explores the chance of using ONs in 
workplaces, where the node distribution is denser, thus contributing to reduce 
the message delivery latency, and where we still find similar needs for 
informal and unplanned network platforms to support human social relationships 
and interactions. Both a survey and trace recording experiments have been used 
to support the analysis of this mobility setting. The ability of recording very 
short contact times (i.e. lasting few seconds) allowed to interestingly show 
the slightly different role the social relationships play in dense scenarios 
and how the large amount of contacts (both short and long), occurring in 
densily populated spaces, actually contribute to reduce the message-delivery 
latency and to increase the delivery probability.
keywordsmeasurement
keywordswireless
keywordsunimi_pmtr
keywordscrawdad
related data/toolsunimi/pmtr