dartmouth/zigbee_radio2008010739200801072008-01-07dartmouth/zigbee_radioDataset of radio characteristics of 802.15.4 mobile person-to-person communications.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.the initial version2008-01-072007-08-122007-08-19miluzzo-zigbee_radio150151152http://www.crawdad.org/dartmouth/zigbee_radiohttp://www.crawdad.org/wiki/pmwiki.php?n=Main.Dataset.dartmouth-zigbee_radio802.15802.15.4Network Performance Analysis802.15 WPAN (wireless personal area networks)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.55200801072008-01-07the initial version.dartmouth/zigbee_radio/Soccer_fieldTraceset of outdor experiments in a soccer field measuring the radio characteristics of 802.15.4 mobile person-to-person communications.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.2008-01-072007-08-122007-08-19Network Performance AnalysisWe 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./download/dartmouth/zigbee_radio/Soccer_field.tar.gzdartmouth/zigbee_radio156200801072008-01-07the initial versiondartmouth/zigbee_radio/Soccer_field/LOSTraces 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.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.false2008-01-072007-08-122007-08-19We 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)dartmouth/zigbee_radio/Soccer_field157200801072008-01-07the initial versiondartmouth/zigbee_radio/Soccer_field/peopleTraces of outdor experiments in a soccer field measuring the radio characteristics of 802.15.4 mobile person-to-person communications.Traces of outdor experiments in a soccer field measuring the radio characteristics of 802.15.4 mobile person-to-person communications.false2008-01-072007-08-122007-08-19We 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)dartmouth/zigbee_radio/Soccer_field56200801072008-01-07the initial version.dartmouth/zigbee_radio/SidewalkTraceset of outdor experiments in a sidewalk measuring the radio characteristics of 802.15.4 mobile person-to-person communications.The traceset contains results from outdoor experiments along a sidewalk which is an example of urban environment.2008-01-072007-08-142007-08-14Network Performance AnalysisThis 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./download/dartmouth/zigbee_radio/Sidewalk.tar.gzdartmouth/zigbee_radio158200801072008-01-07the initial versiondartmouth/zigbee_radio/Sidewalk/necklaceTraces of outdor experiments in a sidewalk measuring the radio characteristics of 802.15.4 mobile person-to-person communications between two people carrying a necklace mote.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.false2008-01-072007-08-122007-08-19This 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.dartmouth/zigbee_radio/Sidewalk159200801072008-01-07the initial versiondartmouth/zigbee_radio/Sidewalk/pocketTraces of outdor experiments in a sidewalk measuring the radio characteristics of 802.15.4 mobile person-to-person communications between two people carrying motes in their pocket.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.false2008-01-072007-08-122007-08-19This 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.dartmouth/zigbee_radio/Sidewalk57200801072008-01-07the initial version.dartmouth/zigbee_radio/Hallway_peoplecrossingTraceset of indoor experiments in a hallway in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications.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.2008-01-072007-08-152007-08-16Network Performance AnalysisThis 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./download/dartmouth/zigbee_radio/Hallway_peoplecrossing.tar.gzdartmouth/zigbee_radio160200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_peoplecrossing/necklaceTraces 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.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.false2008-01-072007-08-152007-08-16This 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 deviationdartmouth/zigbee_radio/Hallway_peoplecrossing161200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_peoplecrossing/pocketTraces 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.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.false2008-01-072007-08-152007-08-16This 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 deviationdartmouth/zigbee_radio/Hallway_peoplecrossing58200801072008-01-07the initial version.dartmouth/zigbee_radio/Hallway_tx_at_the_edgeTraceset of indoor experiments in a hallway in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications.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.2008-01-072007-08-182007-08-18Network Performance AnalysisThis 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./download/dartmouth/zigbee_radio/Hallway_tx_at_the_edge.tar.gzdartmouth/zigbee_radio162200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_tx_at_the_edge/LOSTraces 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.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.false2008-01-072007-08-182007-08-18This 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 deviationdartmouth/zigbee_radio/Hallway_tx_at_the_edge163200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_tx_at_the_edge/necklaceTraces 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.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.false2008-01-072007-08-182007-08-18This 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.dartmouth/zigbee_radio/Hallway_tx_at_the_edge164200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_tx_at_the_edge/pocketTraces 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.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.false2008-01-072007-08-182007-08-18This 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.dartmouth/zigbee_radio/Hallway_tx_at_the_edge59200801072008-01-07the initial version.dartmouth/zigbee_radio/Hallway_turning_cornersTraceset of indoor experiments in a hallway in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications.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.2008-01-072007-08-182007-08-18Network Performance AnalysisThis 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./download/dartmouth/zigbee_radio/Hallway_turning_corners.tar.gzdartmouth/zigbee_radio165200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_turning_corners/neclaceTraces 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.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.false2008-01-072007-08-182007-08-18This 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 deviationdartmouth/zigbee_radio/Hallway_turning_corners166200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_turning_corners/pocketTraces 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.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.false2008-01-072007-08-182007-08-18This 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 deviationdartmouth/zigbee_radio/Hallway_turning_corners60200801072008-01-07the initial version.dartmouth/zigbee_radio/Hallway_different_bodiesTraceset of indoor experiments in a hallway in an office building measuring the radio characteristics of 802.15.4 mobile person-to-person communications.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.2008-01-072007-08-192007-08-19Network Performance AnalysisThis 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./download/dartmouth/zigbee_radio/Hallway_different_bodies.tar.gzdartmouth/zigbee_radio167200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_different_bodies/personATraces 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.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.false2008-01-072007-08-192007-08-19This 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 deviationdartmouth/zigbee_radio/Hallway_different_bodies168200801072008-01-07the initial versiondartmouth/zigbee_radio/Hallway_different_bodies/personBTraces 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.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.false2008-01-072007-08-192007-08-19This 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 deviationdartmouth/zigbee_radio/Hallway_different_bodies150dartmouth/zigbee_radioEmiliano Miluzzomiluzzo@cs.dartmouth.eduDartmouth CollegeComputer SciencePhD student6211 Sudikoff Laboratory, Hanover, NH 03755-3510 USAhttp://www.cs.dartmouth.edu/~miluzzo151dartmouth/zigbee_radioXiao Zhengzhengx@cs.dartmouth.eduDartmouth CollegeComputer SciencePhD student6211 Sudikoff Laboratory, Hanover, NH 03755-3510 USAhttp://www.cs.dartmouth.edu/~zhengx152dartmouth/zigbee_radioKristof FodorFodor@cs.dartmouth.eduDartmouth CollegeComputer ScienceVisiting PhD student6211 Sudikoff Laboratory, Hanover, NH 03755-3510 USAhttp://www.cs.dartmouth.edu/~fodormiluzzo-zigbee_radioEmiliano MiluzzoXiao ZhengKrist\'of FodorAndrew T. CampbellRadio Characterization of 802.15.4 and its Impact on the Design of Mobile Sensor NetworksProceedings of Fifth European Conference on Wireless Sensor Networks (EWSN 2008)Bologna, Italy--01--2008http://www.cs.dartmouth.edu/~miluzzo/papers/miluzzo_EWSN08.pdfcrawdadmeasurementwirelessdartmouth_zigbee_radiocrawdaddartmouth/zigbee_radio20080101