[Dataset] dartmouth/zigbee_radio (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} data set dartmouth/zigbee_radio (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio},
  month = jan,  
  year = 2008
}
					

The dataset contains results from a simple yet systematic set of benchmark 
experiments that offer a number of important insights into the radio 
characteristics of mobile 802.15.4 person-to-person communications.

Future mobile sensing systems are being designed using 802.15.4 low-power 
short-range radios for a diverse set of devices from embedded mobile
motes to sensor-enabled cellphones in support, for example, of people-centric
sensing applications. However, there is little known about the use of 802.15.4 in
mobile sensor settings nor its impact on the performance of future communication
architectures. We conducted a simple yet systematic set of benchmark experiments 
that can offer a number of important insights into the radio characteristics of 
mobile 802.15.4 person-to-person communication.

For all experiments we use two Tmote Invents operating in the 2.4 GHz band, 
one acting as a transmitter and the other as a receiver. A different two are 
chosen for each experiment from a large pool of Invents to avoid biases specific 
to a particular Invent's hardware. The transmitter is programmed to send packets 
at the maximum transmission power (0 dBm) and transmission rate.

We investigate metrics like RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput targeting studies to characterize 
the radio environment in wireless sensor networks. We also measure the effective 
contact time, i.e., the time window during which nodes are in radio contact 
with each other and have enough available bandwidth between them to support 
data transfer.

We carry out our experiments according to three benchmarks: 

i) outdoor experiments in a soccer field away from obstacles and radio interference 
in the 802.15.4 radio band,

ii) outdoor experiments along a sidewalk which is an example of urban environment, 
and, 

iii) indoors experiments in a 55 meter hallway in an office building. 

In all the cases people were moving at walking speed. We repeat the experiments 
positioning the transmitter and receiver nodes at different places on the body, 
(i.e., on the chest front hanging on from a necklace, inside a pocket). 
This choice is motivated by the fact that we are also interested in quantifying 
the impact of the position on the body where the nodes are more likely to be carried. 
We run each experiment five times and calculate the 95% confidence interval.

[Traceset] dartmouth/zigbee_radio/Soccer_field (v. 2008-01-07)

top

the initial version.

@MISC{dartmouth-zigbee_radio-Soccer_field-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace set dartmouth/zigbee_radio/Soccer_field (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Soccer_field},
  month = jan,  
  year = 2008
}
					

The traceset contains results from outdoor experiments in a soccer field 
away from obstacles and radio interference to get insights into the radio 
characteristics of mobile 802.15.4 person-to-person communications.

We perform this experiment in a soccer field out of town away from obstacles 
and radio activity to minimize any external source of interference and 
perturbation on the measurements. The soccer field is in a rural setting and 
not in a town. The transmitter sends 18 byte long packets as fast as possible 
and the receiver retrieves and stores the RSSI (Received Signal Strength Indicator) 
and LQI (Link Quality Indicator) from each packet received from the sender. 
We also record the throughput of the sender measured at the receiver. 

We draw concentric circles with different radius on the ground, the center 
being the position of the sender node during the measurements. The radius are: 
5, 10, 20, 30, 40, 50, 60 meters.  Along the circumference of each circle 
we place equally spaced markers that identify the distance walked along the circles. 
The experiment consists of a stationary person standing in the center of 
the circles wearing a necklace mote and facing a fixed direction while 
the other person walks along each circle wearing a necklace mote as well. 

Each time the person carrying the receiver passes by a marker the user button 
on the receiver mote is clicked and a counter, which represents an abstraction 
of the distance walked along the circle, is incremented. 

Every RSSI and LQI sample is stamped with the latest marker value which means that 
the RSSI, LQI, and throughput values are stored in bin structures identified 
by the number of markers minus one. The RSSI, LQI, and throughput values for a position 
denoted by i in the circle are an average of the RSSI, LQI, and throughput values 
between position i and i+1 (assuming the receiver moves according to the 
i to i+1 direction). This way we are able to produce a 360 degrees RSSI, LQI, and 
throughput map around the transmitter. 

To have a set of comparison points we also perform LoS (Line of Sight) measurements 
between the transmitter and the receiver where the transmitter is placed in the center 
of the circles in such a way so there are no obstacles in the proximity and 
the transmitter and receiver are lifted 1.5 meters above the ground. 
The receiver is slowly moved along the concentric circles keeping the LoS condition 
with the transmitter. The receiver was ~1 meter far away from the person carrying it. 
This way we obtain 360 degrees LoS maps around the transmitter 
for throughput, LQI, and RSSI measured at the receiver.

[Traceset] dartmouth/zigbee_radio/Sidewalk (v. 2008-01-07)

top

the initial version.

@MISC{dartmouth-zigbee_radio-Sidewalk-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace set dartmouth/zigbee_radio/Sidewalk (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Sidewalk},
  month = jan,  
  year = 2008
}
					

The traceset contains results from outdoor experiments along a sidewalk which is an example of urban environment.

This set of experiments show the radio behaviour during a mobile-to-mobile 
communication rendezvous in the common case of people carrying short range 
radio nodes and crossing each other in a typical urban environment: a sidewalk. 

In this case we record RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput values measured at the receiver 
as a function of the transmitter and receiver distance. 
The experiments consists of having two people carrying a transmitting and 
a receiving mote walking toward each other from a long distance and eventually 
passing and crossing each other. The sidewalk runs along a street which is 
about 15 meters away from buildings on both sides. 

Since the measurements are reported as a function of the distance between 
the sender and the receiver we mark a 160 meter portion of the sidewalk. 
Each marker is 2 meters apart and every measurement starts with the two people 
located at a distance of 160 meters (in order to start the experiment by having 
them out of radio contact). Every time each person encounters a marker, the user 
button of the mote is clicked and a counter, which again represents an abstraction 
of the distance walked, is incremented. Every RSSI and LQI sample is stamped 
with the latest marker value which means that the RSSI and LQI values fall into 
bins identified by the number of markers minus one. The RSSI, LQI, and throughput 
values at the receiver at position i with the transmitter at position j are 
calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine 
the relative sender-receiver distance and an RSSI, LQI, and throughput map 
for each distance. 

Two cases are considered: the mote is hung on the chest as the necklace case and 
the mote is carried in the pocket as the pocket case.

[Traceset] dartmouth/zigbee_radio/Hallway_peoplecrossing (v. 2008-01-07)

top

the initial version.

@MISC{dartmouth-zigbee_radio-Hallway_peoplecrossing-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace set dartmouth/zigbee_radio/Hallway_peoplecrossing (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_peoplecrossing},
  month = jan,  
  year = 2008
}
					

The traceset contains results from indoors experiments in a 55 meter hallway in an office building where people approach each other from a long distance.

This experiment is carried in a building hallway of an office building. 
The hallway represents one of the common indoor scenarios where people approach 
each other from a long distance, get in radio contact and pass each other. 

In this case we take RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput measurements at the receiver 
as a function of the transmitter-receiver distance. 
The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the people at the far edges of the hallway. 

Every time each person encounters a marker, the user button of the mote is clicked 
and a counter, which again represents an abstraction of the distance walked, 
is incremented. Every RSSI and LQI sample is stamped with the latest marker value 
which means that the RSSI and LQI values fall into bins identified by the number 
of markers minus one. The RSSI, LQI, and throughput values at the receiver 
at position i with the transmitter at position j are calculated as the average of 
the RSSI, LQI, and throughput values collected by the receiver between position 
i and i+1 (assuming the receiver moves according to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance. 
Two cases are considered: the mote is hung on the chest as the necklace case and 
the mote is carried in the pocket as the pocket case.

[Traceset] dartmouth/zigbee_radio/Hallway_tx_at_the_edge (v. 2008-01-07)

top

the initial version.

@MISC{dartmouth-zigbee_radio-Hallway_tx_at_the_edge-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace set dartmouth/zigbee_radio/Hallway_tx_at_the_edge (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_tx_at_the_edge},
  month = jan,  
  year = 2008
}
					

The traceset contains results from indoors experiments in a 55 meter hallway
in an office building where the transmitter is statically positioned at one edge
of the hallway and one people carrying the receiver walking away from it.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput measurements at the receiver 
as a function of the transmitter-receiver distance. 

The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the transmitter statically positioned at one edge 
of the hallway and one people carrying the receiver walking away from it. 

Every time each person encounters a marker, the user button of the mote is 
clicked and a counter, which again represents an abstraction of the distance walked, 
is incremented.  

Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers 
minus one. The RSSI, LQI, and throughput values at the receiver at position i 
are calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). By knowing the starting location of the nodes it is 
possible to determine the relative sender-receiver distance and an RSSI, LQI, 
and throughput map for each distance. 

Three cases are considered: 
the mote is not on people as the Line of Sight case, 
the mote is hung on the chest as the necklace case and 
the mote is carried in the pocket as the pocket case.

[Traceset] dartmouth/zigbee_radio/Hallway_turning_corners (v. 2008-01-07)

top

the initial version.

@MISC{dartmouth-zigbee_radio-Hallway_turning_corners-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace set dartmouth/zigbee_radio/Hallway_turning_corners (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_turning_corners},
  month = jan,  
  year = 2008
}
					

The traceset contains results from indoors experiments in a 55 meter hallway
in an office building where the person carrying the receiver node turns several
corners in the building.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator), 
and throughput measurements at the receiver as a function of the transmitter-receiver distance. 

The 55 meter hallway and its two wings are marked by equally spaced markers every 2 meters 
and starting the experiments with the transmitter statically positioned in the middle of 
the hallway, hanging from the ceiling in LoS (Line of Sight) contact with the rest of the hallway. 

The receiver node is carried starting from one wing of the hallway, turning 
the corner after 20 meters into the hallway, and turning another corner 
after 70 meters out of the hallway into the other wing. Every time the person 
encounters a marker, the user button of the mote is clicked and a counter, 
which again represents an abstraction of the distance walked, is incremented. 
Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers 
minus one. The RSSI, LQI, and throughput values at the receiver at position i 
are calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance. 

Two cases are considered: 
the mote is hung on the chest as the necklace case and 
the mote is carried in the pocket as the pocket case.

[Traceset] dartmouth/zigbee_radio/Hallway_different_bodies (v. 2008-01-07)

top

the initial version.

@MISC{dartmouth-zigbee_radio-Hallway_different_bodies-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace set dartmouth/zigbee_radio/Hallway_different_bodies (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_different_bodies},
  month = jan,  
  year = 2008
}
					

The traceset contains results from indoors experiments in a 55 meter hallway
in an office building where the receiver node is carried by two people with
different body sizes.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator), 
and throughput measurements at the receiver as a function of the transmitter-receiver distance. 

The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the transmitter statically positioned at one edge of 
the hallway, hanging from the ceiling in LoS (Line of Sight) contact with the rest of the hallway. 

The receiver node is carried starting under the transmitter node to the other end of 
the hallway by two people with different body sizes. 

Person A's weight and height are 55 Kg and 1.65 meters respectively, 
whereas Person B's weight and height are 78 Kg and 1.79 meters, respectively. 

Every time the person encounters a marker, the user button of the mote is clicked and 
a counter, which again represents an abstraction of the distance walked, is incremented. 
Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers minus one. 
The RSSI, LQI, and throughput values at the receiver at position i are calculated 
as the average of the RSSI, LQI, and throughput values collected by the receiver 
between position i and i+1 (assuming the receiver moves according to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance.

[Trace] dartmouth/zigbee_radio/Soccer_field/LOS (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Soccer_field-LOS-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Soccer_field/LOS (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Soccer_field/LOS},
  month = jan,  
  year = 2008
}
					

Traces of outdor experiments in a soccer field conducting LoS (Line of Sight) measurements of the radio characteristics of 802.15.4 mobile person-to-person communications.

We perform this experiment in a soccer field out of town away from obstacles 
and radio activity to minimize any external source of interference and 
perturbation on the measurements. The soccer field is in a rural setting and 
not in a town. The transmitter sends 18 byte long packets as fast as possible 
and the receiver retrieves and stores the RSSI (Received Signal Strength Indicator) 
and LQI (Link Quality Indicator) from each packet received from the sender. 
We also record the throughput of the sender measured at the receiver. 

We draw concentric circles with different radius on the ground, the center 
being the position of the sender node during the measurements. The radius are: 
5, 10, 20, 30, 40, 50, 60 meters.  Along the circumference of each circle 
we place equally spaced markers that identify the distance walked along the circles. 
The experiment consists of a stationary person standing in the center of 
the circles wearing a necklace mote and facing a fixed direction while 
the other person walks along each circle wearing a necklace mote as well. 

Each time the person carrying the receiver passes by a marker the user button 
on the receiver mote is clicked and a counter, which represents an abstraction 
of the distance walked along the circle, is incremented. 

Every RSSI and LQI sample is stamped with the latest marker value which means that 
the RSSI, LQI, and throughput values are stored in bin structures identified 
by the number of markers minus one. The RSSI, LQI, and throughput values for a position 
denoted by i in the circle are an average of the RSSI, LQI, and throughput values 
between position i and i+1 (assuming the receiver moves according to the 
i to i+1 direction). This way we are able to produce a 360 degrees RSSI, LQI, and 
throughput map around the transmitter. 

To have a set of comparison points we also perform LoS (Line of Sight) measurements between 
the transmitter and the receiver where the transmitter is placed in the center 
of the circles in such a way so there are no obstacles in the proximity and 
the transmitter and receiver are lifted 1.5 meters above the ground. 
The receiver is slowly moved along the concentric circles keeping the LoS condition 
with the transmitter. The receiver was ~1 meter far away from the person carrying it.
This way we obtain 360 degrees LoS maps around the transmitter 
for throughput, LQI, and RSSI measured at the receiver.

The file name is associated to the radius value the data has been collected for.

The columns in the file are Angle(Degree) RSSI(dBm) LQI Throughput(bps)

[Trace] dartmouth/zigbee_radio/Soccer_field/people (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Soccer_field-people-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Soccer_field/people (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Soccer_field/people},
  month = jan,  
  year = 2008
}
					

Traces of outdor experiments in a soccer field measuring the radio characteristics of 802.15.4 mobile person-to-person communications.

We perform this experiment in a soccer field out of town away from obstacles 
and radio activity to minimize any external source of interference and 
perturbation on the measurements. The soccer field is in a rural setting and 
not in a town. The transmitter sends 18 byte long packets as fast as possible 
and the receiver retrieves and stores the RSSI (Received Signal Strength Indicator)
and LQI (Link Quality Indicator) from each packet received from the sender. 
We also record the throughput of the sender measured at the receiver. 

We draw concentric circles with different radius on the ground, the center 
being the position of the sender node during the measurements. The radius are: 
5, 10, 20, 30, 40, 50, 60 meters.  Along the circumference of each circle 
we place equally spaced markers that identify the distance walked along the circles. 
The experiment consists of a stationary person standing in the center of 
the circles wearing a necklace mote and facing a fixed direction while 
the other person walks along each circle wearing a necklace mote as well. 

Each time the person carrying the receiver passes by a marker the user button 
on the receiver mote is clicked and a counter, which represents an abstraction 
of the distance walked along the circle, is incremented. 

Every RSSI and LQI sample is stamped with the latest marker value which means that 
the RSSI, LQI, and throughput values are stored in bin structures identified 
by the number of markers minus one. The RSSI, LQI, and throughput values for a position 
denoted by i in the circle are an average of the RSSI, LQI, and throughput values 
between position i and i+1 (assuming the receiver moves according to the 
i to i+1 direction). This way we are able to produce a 360 degrees RSSI, LQI, and 
throughput map around the transmitter.

The file name is associated to the radius value the data has been collected for.

The columns in the file are Angle(Degree) RSSI(dBm) LQI Throughput(bps)

[Trace] dartmouth/zigbee_radio/Sidewalk/necklace (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Sidewalk-necklace-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Sidewalk/necklace (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Sidewalk/necklace},
  month = jan,  
  year = 2008
}
					

Traces of outdor experiments in a sidewalk measuring the radio characteristics of 802.15.4 mobile person-to-person communications between two people wearing a necklace mote.

This set of experiments show the radio behaviour during a mobile-to-mobile 
communication rendezvous in the common case of people carrying short range 
radio nodes and crossing each other in a typical urban environment: a sidewalk. 

In this case we record RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput values measured at the receiver 
as a function of the transmitter and receiver distance. 
The experiments consists of having two people carrying a transmitting and 
a receiving mote, hanging them on the chest like wearing a necklace,
walking toward each other from a long distance and eventually 
passing and crossing each other. The sidewalk runs along a street which is 
about 15 meters away from buildings on both sides. 

Since the measurements are reported as a function of the distance between 
the sender and the receiver we mark a 160 meter portion of the sidewalk. 
Each marker is 2 meters apart and every measurement starts with the two people 
located at a distance of 160 meters (in order to start the experiment by having 
them out of radio contact). Every time each person encounters a marker, the user 
button of the mote is clicked and a counter, which again represents an abstraction 
of the distance walked, is incremented. Every RSSI and LQI sample is stamped 
with the latest marker value which means that the RSSI and LQI values fall into 
bins identified by the number of markers minus one. The RSSI, LQI, and throughput 
values at the receiver at position i with the transmitter at position j are 
calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine 
the relative sender-receiver distance and an RSSI, LQI, and throughput map 
for each distance.

The columns in the file are: Distance(meters)    value (RSSI(dBm), LQI or Throughput(bps))     standard deviation.

[Trace] dartmouth/zigbee_radio/Sidewalk/pocket (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Sidewalk-pocket-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Sidewalk/pocket (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Sidewalk/pocket},
  month = jan,  
  year = 2008
}
					

Traces of outdor experiments in a sidewalk measuring the radio characteristics of 802.15.4 mobile person-to-person communications between two people wearing motes in their pocket.

This set of experiments show the radio behaviour during a mobile-to-mobile 
communication rendezvous in the common case of people carrying short range 
radio nodes and crossing each other in a typical urban environment: a sidewalk. 

In this case we record RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput values measured at the receiver 
as a function of the transmitter and receiver distance. 
The experiments consists of having two people carrying a transmitting and 
a receiving mote in their pockets walking toward each other from a long distance 
and eventually passing and crossing each other. The sidewalk runs along a street 
which is about 15 meters away from buildings on both sides. 

Since the measurements are reported as a function of the distance between 
the sender and the receiver we mark a 160 meter portion of the sidewalk. 
Each marker is 2 meters apart and every measurement starts with the two people 
located at a distance of 160 meters (in order to start the experiment by having 
them out of radio contact). Every time each person encounters a marker, the user 
button of the mote is clicked and a counter, which again represents an abstraction 
of the distance walked, is incremented. Every RSSI and LQI sample is stamped 
with the latest marker value which means that the RSSI and LQI values fall into 
bins identified by the number of markers minus one. The RSSI, LQI, and throughput 
values at the receiver at position i with the transmitter at position j are 
calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine 
the relative sender-receiver distance and an RSSI, LQI, and throughput map 
for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation.

[Trace] dartmouth/zigbee_radio/Hallway_peoplecrossing/necklace (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Hallway_peoplecrossing-necklace-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_peoplecrossing/necklace (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_peoplecrossing/necklace},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics 
of 802.15.4 mobile person-to-person communications between two people carrying 
a necklace mote.

This experiment is carried in a building hallway of an office building. 
The hallway represents one of the common indoor scenarios where people carrying
a necklace mote approach each other from a long distance, get in radio contact 
and pass each other. 

In this case we take RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput measurements at the receiver 
as a function of the transmitter-receiver distance. 
The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the people at the far edges of the hallway. 

Every time each person encounters a marker, the user button of the mote is clicked 
and a counter, which again represents an abstraction of the distance walked, 
is incremented. Every RSSI and LQI sample is stamped with the latest marker value 
which means that the RSSI and LQI values fall into bins identified by the number 
of markers minus one. The RSSI, LQI, and throughput values at the receiver 
at position i with the transmitter at position j are calculated as the average of 
the RSSI, LQI, and throughput values collected by the receiver between position 
i and i+1 (assuming the receiver moves according to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation

[Trace] dartmouth/zigbee_radio/Hallway_peoplecrossing/pocket (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Hallway_peoplecrossing-pocket-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_peoplecrossing/pocket (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_peoplecrossing/pocket},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications between two people carrying motes in their pocket.

This experiment is carried in a building hallway of an office building. 
The hallway represents one of the common indoor scenarios where people carrying
motes in their pocket approach each other from a long distance, get in radio contact 
and pass each other. 

In this case we take RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator), 
and throughput measurements at the receiver as a function of the transmitter-receiver distance. 
The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the people at the far edges of the hallway. 

Every time each person encounters a marker, the user button of the mote is clicked 
and a counter, which again represents an abstraction of the distance walked, 
is incremented. Every RSSI and LQI sample is stamped with the latest marker value 
which means that the RSSI and LQI values fall into bins identified by the number 
of markers minus one. The RSSI, LQI, and throughput values at the receiver 
at position i with the transmitter at position j are calculated as the average of 
the RSSI, LQI, and throughput values collected by the receiver between position 
i and i+1 (assuming the receiver moves according to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation

[Trace] dartmouth/zigbee_radio/Hallway_tx_at_the_edge/LOS (v. 2008-01-07)

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the initial version

@MISC{dartmouth-zigbee_radio-Hallway_tx_at_the_edge-LOS-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_tx_at_the_edge/LOS (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_tx_at_the_edge/LOS},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications with the transmitter positioned at one edge of the hallway and the receiver moving away from it in LOS condition.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput measurements at the receiver 
as a function of the transmitter-receiver distance. 

The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the transmitter statically positioned at one edge 
of the hallway and the receiver moving away from it.  For LOS condition, 
the mote is not on people in this experiment. 

Every time each mote encounters a marker, the user button of the mote is 
clicked and a counter, which again represents an abstraction of the distance walked, 
is incremented.  

Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers 
minus one. The RSSI, LQI, and throughput values at the receiver at position i 
are calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). By knowing the starting location of the nodes it is 
possible to determine the relative sender-receiver distance and an RSSI, LQI, 
and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation

[Trace] dartmouth/zigbee_radio/Hallway_tx_at_the_edge/necklace (v. 2008-01-07)

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the initial version

@MISC{dartmouth-zigbee_radio-Hallway_tx_at_the_edge-necklace-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_tx_at_the_edge/necklace (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_tx_at_the_edge/necklace},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications with the transmitter positioned at one edge of the hallway and the receiver (carried as a necklace) moving away from it.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput measurements at the receiver 
as a function of the transmitter-receiver distance. 

The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the transmitter statically positioned at one edge 
of the hallway and one people carrying the receiver as a necklace walking away from it. 

Every time each person encounters a marker, the user button of the mote is 
clicked and a counter, which again represents an abstraction of the distance walked, 
is incremented.  

Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers 
minus one. The RSSI, LQI, and throughput values at the receiver at position i 
are calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). By knowing the starting location of the nodes it is 
possible to determine the relative sender-receiver distance and an RSSI, LQI, 
and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation.

[Trace] dartmouth/zigbee_radio/Hallway_tx_at_the_edge/pocket (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Hallway_tx_at_the_edge-pocket-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_tx_at_the_edge/pocket (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_tx_at_the_edge/pocket},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications with the transmitter positioned at one edge of the hallway and the receiver (carried in the pocket) moving away from it.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator), 
and throughput measurements at the receiver as a function of the transmitter-receiver distance. 

The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the transmitter statically positioned at one edge 
of the hallway and one people carrying the receiver in the pocket walking away from it. 

Every time each person encounters a marker, the user button of the mote is 
clicked and a counter, which again represents an abstraction of the distance walked, 
is incremented.  

Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers 
minus one. The RSSI, LQI, and throughput values at the receiver at position i 
are calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). By knowing the starting location of the nodes it is 
possible to determine the relative sender-receiver distance and an RSSI, LQI, 
and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation.

[Trace] dartmouth/zigbee_radio/Hallway_turning_corners/neclace (v. 2008-01-07)

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the initial version

@MISC{dartmouth-zigbee_radio-Hallway_turning_corners-neclace-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_turning_corners/neclace (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_turning_corners/neclace},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications where the person carrying the receiver node as a necklace turns corners in the building.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator), 
and throughput measurements at the receiver as a function of the transmitter-receiver distance. 

The 55 meter hallway and its two wings are marked by equally spaced markers every 2 meters 
and starting the experiments with the transmitter statically positioned in the middle of 
the hallway, hanging from the ceiling in LoS (Line of Sight) contact with the rest of the hallway. 

The receiver node is carried starting from one wing of the hallway, turning 
the corner after 20 meters into the hallway, and turning another corner 
after 70 meters out of the hallway into the other wing. Every time the person 
encounters a marker, the user button of the mote is clicked and a counter, 
which again represents an abstraction of the distance walked, is incremented. 
Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers 
minus one. The RSSI, LQI, and throughput values at the receiver at position i 
are calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation

[Trace] dartmouth/zigbee_radio/Hallway_turning_corners/pocket (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Hallway_turning_corners-pocket-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_turning_corners/pocket (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_turning_corners/pocket},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications where the person carrying the receiver node in the pocket turns corners in the building.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator), 
and throughput measurements at the receiver as a function of the transmitter-receiver distance. 

The 55 meter hallway and its two wings are marked by equally spaced markers every 2 meters 
and starting the experiments with the transmitter statically positioned in the middle of 
the hallway, hanging from the ceiling in LoS (Line of Sight) contact with the rest of the hallway. 

The receiver node is carried starting from one wing of the hallway, turning 
the corner after 20 meters into the hallway, and turning another corner 
after 70 meters out of the hallway into the other wing. Every time the person 
encounters a marker, the user button of the mote is clicked and a counter, 
which again represents an abstraction of the distance walked, is incremented. 
Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers 
minus one. The RSSI, LQI, and throughput values at the receiver at position i 
are calculated as the average of the RSSI, LQI, and throughput values collected 
by the receiver between position i and i+1 (assuming the receiver moves according 
to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation

[Trace] dartmouth/zigbee_radio/Hallway_different_bodies/personA (v. 2008-01-07)

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the initial version

@MISC{dartmouth-zigbee_radio-Hallway_different_bodies-personA-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_different_bodies/personA (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_different_bodies/personA},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications where the receiver node is carried by a person with relatively small body size.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), 
LQI (Link Quality Indicator), and throughput measurements at the receiver 
as a function of the transmitter-receiver distance. 

The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the transmitter statically positioned at one edge of 
the hallway, hanging from the ceiling in LoS (Line of Sight) contact with the rest of the hallway. 

The receiver node is carried starting under the transmitter node to the other end of 
the hallway by a person (called Person A) whose weight and height are 55 Kg and 1.65 meters.

Every time the person encounters a marker, the user button of the mote is clicked and 
a counter, which again represents an abstraction of the distance walked, is incremented. 
Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers minus one. 
The RSSI, LQI, and throughput values at the receiver at position i are calculated 
as the average of the RSSI, LQI, and throughput values collected by the receiver 
between position i and i+1 (assuming the receiver moves according to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation

[Trace] dartmouth/zigbee_radio/Hallway_different_bodies/personB (v. 2008-01-07)

top

the initial version

@MISC{dartmouth-zigbee_radio-Hallway_different_bodies-personB-2008-01-07,
  author = {Emiliano Miluzzo and Xiao Zheng and Kristof Fodor},
  title = {{CRAWDAD} trace dartmouth/zigbee_radio/Hallway_different_bodies/personB (v. 2008-01-07)}, 
  howpublished = {Downloaded from http://crawdad.cs.dartmouth.edu/dartmouth/zigbee_radio/Hallway_different_bodies/personB},
  month = jan,  
  year = 2008
}
					

Traces of indoor experiments in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications where the receiver node is carried by a person with relatively big body size.

This experiment is carried in a building hallway of an office building. 
In this case we take RSSI (Received Signal Strength Indicator), LQI (Link Quality Indicator), 
and throughput measurements at the receiver as a function of the transmitter-receiver distance. 

The 55 meter hallway is marked by equally spaced markers every 2 meters and 
starting the experiments with the transmitter statically positioned at one edge of 
the hallway, hanging from the ceiling in LoS (Line of Sight) contact with the rest of the hallway. 

The receiver node is carried starting under the transmitter node to the other end of 
the hallway by a person (called Person B) whose weight and height are 78 Kg and 1.79 meters.

Every time the person encounters a marker, the user button of the mote is clicked and 
a counter, which again represents an abstraction of the distance walked, is incremented. 
Every RSSI and LQI sample is stamped with the latest marker value which means 
that the RSSI and LQI values fall into bins identified by the number of markers minus one. 
The RSSI, LQI, and throughput values at the receiver at position i are calculated 
as the average of the RSSI, LQI, and throughput values collected by the receiver 
between position i and i+1 (assuming the receiver moves according to the i to i+1 direction). 

By knowing the starting location of the nodes it is possible to determine the relative 
sender-receiver distance and an RSSI, LQI, and throughput map for each distance.

The columns in the file are: Distance(meters)    value(RSSI(dBm), LQI or Throughput(bps))     standard deviation

[Author] Emiliano Miluzzo

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[Author] Xiao Zheng

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[Author] Kristof Fodor

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[Paper] miluzzo-zigbee_radio

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