CRAWDAD metadata: st_andrews/sassy (v. 2011-06-03)

This is a dataset of sensor mote encounter records and corresponding social network data of a group of participants at University of St Andrews.
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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] st_andrews/sassy (v. 2011-06-03)

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    version v. 2011-06-03
    changes
    the initial version
    bibtex
    @MISC{st_andrews-sassy-2011-06-03,
      author = {Greg Bigwood and Devan Rehunathan and Martin Bateman and Tristan Henderson and Saleem Bhatti},
      title = {{CRAWDAD} data set st_andrews/sassy (v. 2011-06-03)}, 
      howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/sassy},
      month = jun,  
      year = 2011
    }
    					
    metadata last modified2011-06-15
    summary
    This is a dataset of sensor mote encounter records and corresponding social 
    network data of a group of participants at University of St Andrews.
    release date2011-06-03
    measurement start 2008-02-15
    measurement end 2008-04-29
    authorsGreg Bigwood
    Devan Rehunathan
    Martin Bateman
    Tristan Henderson
    Saleem Bhatti
    web site http://www.crawdad.org/st_andrews/sassy
    wiki go to the wiki page for this data set
    keywordsocial network, sensor network, DTN, 802.15.4, MANET
    measurement purposesRouting Protocol for DTNs (Disruption Tolerent Networks)
    Social Network Analysis
    Network Performance Analysis
    Opportunistic Connectivity
    network typesensor network
    network typeDTN (Delay or Disruption Tolerant Network)
    network typesocial network
    environment
    We deployed 27 T-mote invent devices among human users associated with
    University of St Andrews. We could detect invent-to-invent encounters anywhere
    throughout the town of St Andrews and beyond.
    network
    We have set up a mobile sensor network comprising mobile IEEE 802.15.4 sensors
    (T-mote invent devices) carried by human users and Linux-based basestations
    that bridge the 802.15.4 sensors to the wired network. T-mote invent devices can
    detect each other within a radius of ~10m. These encounters are stored in the
    invent devices and are uploaded through the basestations to a central database.
    To upload encounters, we deployed three basestations across the two Computer 
    Science buildings in our institution.
    collection
    We deployed 27 T-mote invent devices among 22 undergraduate students, 3 
    postgraduate students, and 2 members of staff of University of St Andrews. 
    Participants were asked to carry the devices whenever possible over a period of
    79 days. 
    
    The invent devices were programmed to broadcast a beacon every 6.67 seconds.
    When other devices (invent devices or basestations) detect these beacons, they 
    record a timestamp and other information (such as signal strength) for this 
    beacon. The timestamp, the device ID, and the other information form a Sensor 
    Encounter Record (SER), which gets uploaded to a central database. 
    
    We used the participants' Facebook friend lists to generate a social network
    topology. We refer to this as the self-reported social network (SRSN). We also
    generate a topology using the SERs to create the detected social network (DSN).
    sanitization
    No record was made of mappings between device IDs and names of participants.
    limitation
    To conserve storage on the invent devices, which only have 48 KB storage space,
    we only record the maximum, minimum, and mean measurements for encounters that 
    last more than one polling interval.
    error
    The upload times are assumed to be accurate - the error is maximum possible
    difference between the upload time and the start of the encounter. This is
    due to the clocks on the device not maintaining the previous clock time
    after a device reset or battery failure.
    tracesets included st_andrews/sassy/mobile (v. 2011-06-03)

    [Traceset] st_andrews/sassy/mobile (v. 2011-06-03)

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    version v. 2011-06-03
    changes
    the initial version.
    bibtex
    @MISC{st_andrews-sassy-mobile-2011-06-03,
      author = {Greg Bigwood and Devan Rehunathan and Martin Bateman and Tristan Henderson and Saleem Bhatti},
      title = {{CRAWDAD} trace set st_andrews/sassy/mobile (v. 2011-06-03)}, 
      howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/sassy/mobile},
      month = jun,  
      year = 2011
    }
    					
    metadata last modified2011-06-15
    summary
    This is a dataset of sensor mote encounter records and corresponding social 
    network data of a group of participants at University of St Andrews.
    release date2011-06-03
    measurement start 2008-02-15
    measurement end 2008-04-29
    measurement purposesRouting Protocol for DTNs (Disruption Tolerent Networks)
    Social Network Analysis
    Network Performance Analysis
    Opportunistic Connectivity
    methodology
    We have set up a mobile sensor network comprising mobile IEEE 802.15.4 sensors
    (T-mote invent devices) carried by human users and Linux-based basestations
    that bridge the 802.15.4 sensors to the wired network.
    
    We deployed 27 T-mote invent devices among 22 undergraduate students, 3 
    postgraduate students, and 2 members of staff of University of St Andrews. 
    Participants were asked to carry the devices whenever possible over a period of
    79 days.
    
    We used the participants' Facebook friend lists to generate a social network
    topology. We refer to this as the self-reported social network (SRSN). We also
    generate a topology using the SERs to create the detected social network (DSN).
    sanitization
    No record was made of mappings between device IDs and names of participants.
    error
    The upload times are assumed to be accurate - the error is maximum possible
    difference between the upload time and the start of the encounter. This is
    due to the clocks on the device not maintaining the previous clock time
    after a device reset or battery failure.
    download urlDownload (816KB gz)
    (MD5 Hash: e7846248be3b25bc2c8475785792f6b4) from US UK AU
    download urlDownload (4.0KB gz)
    (MD5 Hash: 589487f57e9ae1d6453b236ddecb5ca9) from US UK AU
    parent datast_andrews/sassy (v. 2011-06-03)
    traces included st_andrews/sassy/mobile/social (v. 2011-06-03)

    [Trace] st_andrews/sassy/mobile/social (v. 2011-06-03)

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    version v. 2011-06-03
    changes
    the initial version
    bibtex
    @MISC{st_andrews-sassy-mobile-social-2011-06-03,
      author = {Greg Bigwood and Devan Rehunathan and Martin Bateman and Tristan Henderson and Saleem Bhatti},
      title = {{CRAWDAD} trace st_andrews/sassy/mobile/social (v. 2011-06-03)}, 
      howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/st_andrews/sassy/mobile/social},
      month = jun,  
      year = 2011
    }
    					
    metadata last modified2011-06-15
    summary
    This is a dataset of sensor mote encounter records and corresponding social 
    network data of a group of participants at University of St Andrews.
    derivedfalse
    release date2011-06-03
    measurement start 2008-02-15
    measurement end 2008-04-29
    configuration
    We have set up a mobile sensor network comprising mobile IEEE 802.15.4 sensors
    (T-mote invent devices) carried by human users and Linux-based basestations
    that bridge the 802.15.4 sensors to the wired network.
    
    The invent devices were programmed to broadcast a beacon every 6.67 seconds.
    format
    The fields of dsn.csv are as follows:
    
    device_having_encounter - device that recorded the encounter
    device_seen             - device that was detected
    rawtime_start           - UNIX timestamp of encounter start
    rawtime_end             - UNIX timestamp of encounter end
    timeuploaded            - UNIX timestamp of when the encounter was uploaded to
                              a basestation
    rssivalue               - RSSI (max 256)
    errorval                - error value of start time of encounter relative to
                              upload time
    
    srsn.csv file contains a pairs of invent device IDs corresponding to Facebook
    friend connections.
    sanitization
    No record was made of mappings between device IDs and names of participants.
    error
    The upload times are assumed to be accurate - the error is maximum possible
    difference between the upload time and the start of the encounter. This is
    due to the clocks on the device not maintaining the previous clock time
    after a device reset or battery failure.
    parent datast_andrews/sassy/mobile (v. 2011-06-03)

    [Author] Greg Bigwood

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    emailgjb@cs.st-andrews.ac.uk
    institutionUniversity of St Andrews
    departmentComputer Science
    positionPh.D. student
    addressSchool of Computer Science, University of St Andrews, Fife KY16 9SX, UK
    web site http://www.cs.st-andrews.ac.uk/~gjb/
    related data/toolsst_andrews/sassy (v. 2011-06-03)

    [Author] Devan Rehunathan

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    emaildr@cs.st-andrews.ac.uk
    institutionUniversity of St Andrews
    departmentComputer Science
    positionPh.D. student
    addressSchool of Computer Science, University of St Andrews, Fife KY16 9SX, UK
    web site http://blogs.cs.st-andrews.ac.uk/devan
    related data/toolsst_andrews/sassy (v. 2011-06-03)

    [Author] Martin Bateman

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    emailmbateman@uclan.ac.uk
    institutionUniversity of Central Lancashire
    departmentComputing, Engineering and Physical Sciences
    positionSenior Lecturer
    addressRoom CM116, School of Computing, Engineering and Physical Sciences, University of Central Lancashire, Preston, Lancashire, PR1 2HE
    phone+44 (0)1772 893 004
    web site http://www.star.uclan.ac.uk/~mb/
    related data/toolsst_andrews/sassy (v. 2011-06-03)

    [Author] Tristan Henderson

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    emailtristan@cs.st-andrews.ac.uk
    institutionUniversity of St Andrews
    departmentComputer Science
    positionLecturer
    addressSchool of Computer Science, University of St Andrews, Fife KY16 9SX, UK
    phone+44 (0)1334 461 637
    fax+44 (0)1334 463 278
    web site http://www.cs.st-andrews.ac.uk/~tristan/
    related data/toolsdartmouth/campus (v. 2009-09-09)
    st_andrews/sassy (v. 2011-06-03)
    st_andrews/locshare (v. 2011-10-12)
    tools/process/syslog/syslog_parser (v. 2006-11-01)

    [Author] Saleem Bhatti

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    emailsaleem@cs.st-andrews.ac.uk
    institutionUniversity of St Andrews
    departmentComputer Science
    positionProfessor
    addressSchool of Computer Science, University of St Andrews, Fife KY16 9SX, UK
    phone+44 (0)1334 461 640
    fax+44 (0)1334 463 278
    web site http://www.cs.st-andrews.ac.uk/~saleem/
    related data/toolsst_andrews/sassy (v. 2011-06-03)

    [Paper] bigwood-networking

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    category inproceedings
    authorsGreg Bigwood
    Devan Rehunathan
    Martin Bateman
    Tristan Henderson
    Saleem Bhatti
    titleExploiting Self-Reported Social Networks for Routing in Ubiquitous Computing Environments
    booktitleIEEE International Conference on Wireless and Mobile Computing, Networking and Communication (WiMob '08)
    year2008
    monthOctober
    publisherIEEE
    pages484-489
    addressAvignon, France
    download urlhttp://www.cs.st-andrews.ac.uk/~dr/publications/sauce2008-brbhb2008.pdf
    keywordswireless
    keywordsmeasurement
    keywordsst_andrews_sassy
    related data/toolsst_andrews/sassy