CRAWDAD metadata: nottingham/cattle (v. 2007-12-20)

We performed the field experiments of cattle movement and behavior monitoring at the University of Nottingham's Dairy Centre to collect realistic parameters necessary to develop and evaluate an adequate wireless protocol.
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    CRAWDAD metadata structure[what is CRAWDAD metadata]


    [Dataset] nottingham/cattle (v. 2007-12-20)

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    version v. 2007-12-20
    changes
    the initial version
    bibtex
    @MISC{nottingham-cattle-2007-12-20,
      author = {Bartosz Wietrzyk and Milena Radenkovic},
      title = {{CRAWDAD} data set nottingham/cattle (v. 2007-12-20)}, 
      howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle},
      month = dec,  
      year = 2007
    }
    					
    metadata last modified2008-01-04
    summary
    We performed the field experiments of cattle movement and behavior monitoring 
    at the University of Nottingham's Dairy Centre to collect realistic parameters 
    necessary to develop and evaluate an adequate wireless protocol.
    release date2007-12-20
    measurement start 2006-07-04
    measurement end 2006-07-13
    authorsBartosz Wietrzyk
    Milena Radenkovic
    web site http://www.crawdad.org/nottingham/cattle
    wiki go to the wiki page for this data set
    keywordBluetooth, DTN, GPS, MANET, location, sensor network
    measurement purposesUser Mobility Characterization
    Routing Protocol for DTNs (Disruption Tolerent Networks)
    Energy-efficient Wireless Network
    network typesensor network
    network typebluetooth
    network typeGPS (Global Positioning System)
    network typeDTN (Delay or Disruption Tolerant Network)
    environment
    The application of Mobile Ad Hoc Networks to cattle monitoring has 
    the potential to increase the profitability of cattle production and 
    positively impact the everyday live of farm personnel. To realize 
    these possibilities, design of wireless protocols needs to be driven 
    by real experiences. The main research challenges are identifying and 
    refining realistic requirements for a MANET routing protocol and 
    designing such protocol. In order to address this, we performed 
    the field experiments at the University of Nottingham's Dairy Centre.  
    
    The purpose of these field experiments was collection of realistic 
    parameters necessary to develop and evaluate an adequate wireless 
    protocol. They included cattle movement and behavior monitoring 
    as well as distributing a questionnaire to the farm personnel and 
    researchers working on the farm.
    network
    We installed on each monitored cow a collar comprising a neck strap 
    and an aluminum instrument enclosure containing a Bluetooth GPS and 
    a Bluetooth enabled mobile phone.
    collection
    Mobile phones were logging data from the GPS receivers including positions 
    and timestamps. All the cows in the dairy were wearing pedometers. Their 
    measurements were automatically collected by milking robots whenever a cow 
    was milked.
    tracesets included nottingham/cattle/mobility (v. 2007-12-20)

    [Traceset] nottingham/cattle/mobility (v. 2007-12-20)

    top

    version v. 2007-12-20
    changes
    the initial version.
    bibtex
    @MISC{nottingham-cattle-mobility-2007-12-20,
      author = {Bartosz Wietrzyk and Milena Radenkovic},
      title = {{CRAWDAD} trace set nottingham/cattle/mobility (v. 2007-12-20)}, 
      howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle/mobility},
      month = dec,  
      year = 2007
    }
    					
    metadata last modified2008-01-04
    summary
    We monitored some cows located at the University of Nottingham's Dairy Centre 
    to collect the traces of cattle movement and behavior.
    release date2007-12-20
    measurement start 2007-07-04
    measurement end 2007-07-13
    measurement purposesUser Mobility Characterization
    Routing Protocol for DTNs (Disruption Tolerent Networks)
    Energy-efficient Wireless Network
    methodology
    In the first field experiment we monitored two of the cows located in one of 
    the divisions of a modern dairy intended for about 100 animals. Cows can move 
    freely in the area with the feeder, water tank, resting bays and milking robots 
    available 24 hours a day. 
    
    We installed on the monitored cows two collars comprising a neck strap 
    and an aluminum instrument enclosure containing a Bluetooth GPS and 
    a Bluetooth enabled mobile phone. 
    
    Mobile phones were logging data from the GPS receivers including positions 
    and timestamps. All the cows in the dairy were wearing pedometers. Their 
    measurements were automatically collected by milking robots whenever a cow 
    was milked. The data collection started at 11:10. Both GPS receivers 
    worked until around 14:05. 
    
    Some of the collected measurements suggested that cows moved with speeds 
    impossible for them, which suggested GPS errors. Concurrently we were 
    filming the part of the dairy where the monitored cows were kept. We placed 
    the camera on the ramp above this area. This location offered the most 
    complete view but some parts of the area were obscured. GPS receivers and
    filming were utilized only for the purpose of our field experiments. 
    Their utilization is not intended for the target monitoring system.
    
    We repeated the previous experiment with five collars mounted on animals 
    and two cameras located at two different ramps to get a more complete view 
    of the area where the monitored cows were kept. We had GPS receivers 
    with better batteries than before and we were logging data about the precision 
    of logged locations. Monitoring started at 11:10. GPS receivers worked 
    until 18:24, 12:23 (probably jammed), 18:51, 15:09, 15:33. We received 
    the plan of the dairy and then captured the coordinates of the characteristic 
    locations on the plan using a handheld GPS receiver.
    error
    Some of the collected measurements suggested that cows moved with speeds 
    impossible for them, which suggested GPS errors.
    download urlDownload (372KB gz)
    (MD5 Hash: 784a56a023d5235c5d798a6d5926e384) from US UK
    parent datanottingham/cattle (v. 2007-12-20)
    traces included nottingham/cattle/mobility/2006.07.04 (v. 2007-12-20)
    nottingham/cattle/mobility/2006.07.13 (v. 2007-12-20)

    [Trace] nottingham/cattle/mobility/2006.07.04 (v. 2007-12-20)

    top

    version v. 2007-12-20
    changes
    the initial version
    bibtex
    @MISC{nottingham-cattle-mobility-2006.07.04-2007-12-20,
      author = {Bartosz Wietrzyk and Milena Radenkovic},
      title = {{CRAWDAD} trace nottingham/cattle/mobility/2006.07.04 (v. 2007-12-20)}, 
      howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle/mobility/2006.07.04},
      month = dec,  
      year = 2007
    }
    					
    metadata last modified2008-01-04
    summary
    Trace of cattle movement and behavior monitoring collected at the University
    of Nottingham's Dairy Centre on 2007-07-04.
    derivedfalse
    release date2007-12-20
    measurement start 2006-07-04
    measurement end 2006-07-04
    configuration
    In the first field experiment we monitored two of the cows located in one of 
    the divisions of a modern dairy intended for about 100 animals. Cows can move 
    freely in the area with the feeder, water tank, resting bays and milking robots 
    available 24 hours a day. 
    
    We installed on the monitored cows two collars comprising a neck strap 
    and an aluminum instrument enclosure containing a Bluetooth GPS and 
    a Bluetooth enabled mobile phone. 
    
    Mobile phones were logging data from the GPS receivers including positions 
    and timestamps. All the cows in the dairy were wearing pedometers. Their 
    measurements were automatically collected by milking robots whenever a cow 
    was milked. The data collection started at 11:10. Both GPS receivers 
    worked until around 14:05.
    format
    Directory name - 2006.07.04
    
    GPS traces (???.txt):
    GPS data from Bluetooth GPSes mounted on the wet cows kept in a dairy. We  
    
    file name - id of the cow
    PyStumbler 1.0 format, meaning of the important fields:
     DATE   - date of the measurement
     LAT    - latitude
     LON    - longitude
     TIMEOFFIX - time in GMT (equivalent to British winter time)
     STATUS - Validity: A-ok, V-invalid
     SOG    - speed over gorund
     COG    - course of the ground
     MODE   - Mode: 1=Fix not available; 2=2D; 3=3D
     NUMSAT - number of sattelites used for the fix (the more the better)
     PDOP   - Position Dilution of Precision (PDOP)
     HDOP   - Horizontal Dilution of Precision (HDOP)
     VDOP   - Vertical Dilution of Precision (VDOP)
    
    
    DOP (dilution of precision) is an indication of the effect of satellite geometry on the accuracy of the fix. It is a unitless number where smaller is better. For 3D fixes using 4 satellites a 1.0 would be considered to be a perfect number, however for over determined solutions it is possible to see numbers below 1.0.
    
    
    Pedometer data (pedometers.txt):
    Data from the pedometers mounted on the legs of the wet cows kept in the dairy.
    Each line represents pedometer reading taken during milking preformed by a robot.
    
    1) ID of the cow
    2) Birth day of the cow
    3) timestamp in BST (British Summer Time)
    4) Pedometer reading
    parent datanottingham/cattle/mobility (v. 2007-12-20)

    [Trace] nottingham/cattle/mobility/2006.07.13 (v. 2007-12-20)

    top

    version v. 2007-12-20
    changes
    the initial version
    bibtex
    @MISC{nottingham-cattle-mobility-2006.07.13-2007-12-20,
      author = {Bartosz Wietrzyk and Milena Radenkovic},
      title = {{CRAWDAD} trace nottingham/cattle/mobility/2006.07.13 (v. 2007-12-20)}, 
      howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/nottingham/cattle/mobility/2006.07.13},
      month = dec,  
      year = 2007
    }
    					
    metadata last modified2008-01-04
    summary
    Trace of cattle movement and behavior monitoring collected at the University
    of Nottingham's Dairy Centre on 2007-07-13.
    derivedfalse
    release date2007-12-20
    measurement start 2006-07-13
    measurement end 2006-07-13
    configuration
    In the second field experiment we monitored five of the cows located in one of 
    the divisions of a modern dairy intended for about 100 animals. We also located
    two cameras at two different ramps to get a more complete view of the area 
    where the monitored cows were kept. Cows can move freely in the area with 
    the feeder, water tank, resting bays and milking robots available 24 hours a day. 
    
    We installed on the monitored cows five collars comprising a neck strap 
    and an aluminum instrument enclosure containing a Bluetooth GPS and 
    a Bluetooth enabled mobile phone. 
    
    Mobile phones were logging data from the GPS receivers including positions 
    and timestamps. All the cows in the dairy were wearing pedometers. Their 
    measurements were automatically collected by milking robots whenever a cow 
    was milked. 
    
    We had GPS receivers with better batteries than before and we were logging data 
    about the precision of logged locations. Monitoring started at 11:10. 
    GPS receivers worked until 18:24, 12:23 (probably jammed), 18:51, 15:09, 15:33. 
    We received the plan of the dairy and then captured the coordinates of the 
    characteristic locations on the plan using a handheld GPS receiver.
    format
    Directory name - 2006.07.13 
    
    GPS traces (???.txt):
    GPS data from Bluetooth GPSes mounted on the wet cows kept in a dairy.
    
    file name - id of the cow
    PyStumbler 1.0 format, meaning of the important fields:
     DATE   - date of the measurement
     LAT    - latitude
     LON    - longitude
     TIMEOFFIX - time in GMT (equivalent to British winter time)
     STATUS - Validity: A-ok, V-invalid
     SOG    - speed over gorund
     COG    - course of the ground
     MODE   - Mode: 1=Fix not available; 2=2D; 3=3D
     NUMSAT - number of sattelites used for the fix (the more the better)
     PDOP   - Position Dilution of Precision (PDOP)
     HDOP   - Horizontal Dilution of Precision (HDOP)
     VDOP   - Vertical Dilution of Precision (VDOP)
    
    
    DOP (dilution of precision) is an indication of the effect of satellite geometry on the accuracy of the fix. It is a unitless number where smaller is better. For 3D fixes using 4 satellites a 1.0 would be considered to be a perfect number, however for over determined solutions it is possible to see numbers below 1.0.
    
    
    Pedometer data (pedometers.txt):
    Data from the pedometers mounted on the legs of the wet cows kept in the dairy.
    Each line represents pedometer reading taken during milking preformed by a robot.
    
    1) ID of the cow
    2) Birth day of the cow
    3) timestamp in BST (British Summer Time)
    4) Pedometer reading
    parent datanottingham/cattle/mobility (v. 2007-12-20)

    [Author] Bartosz Wietrzyk

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    emailbzw@cs.nott.ac.uk
    institutionUniversity of Nottingham
    departmentSchool of Computer Science & IT
    positionPhD student
    addressRoom C6, School of Computer Science & IT, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, United Kingdom
    phone+44 115 846 6523
    fax+44 115 951 4239
    web site http://www.mrl.nott.ac.uk/~bzw/
    related data/toolsnottingham/cattle (v. 2007-12-20)

    [Author] Milena Radenkovic

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    emailmvr@cs.nott.ac.uk
    institutionUniversity of Nottingham
    departmentSchool of Computer Science & IT
    positionLecturer
    addressSchool of Computer Science & IT, University of Nottingham, Jubilee Campus, Wollaton Road, Nottingham, NG8 1BB, United Kingdom
    phone+44 115 846 7670
    fax+44 115 951 4254
    web site http://www.cs.nott.ac.uk/~mvr/
    related data/toolsnottingham/cattle (v. 2007-12-20)