Usability and Engineering Aspects of Competing RF Technologies for
Communication with Commercial Sports Sensors in Ubiquitous
Applications
Experimental Comparison of Power Consumption and Use Cases for ANT+
and Bluetooth Low Energy Sensor Devices
Hans Weghorn
Baden-Wuerttemberg Cooperative State University, Kronenstrasse 53A, 70174 Stuttgart, Germany
Keywords: Sports sensors, Ubiquitous Sports Tools, Body Sensor Networks, ANT+, Bluetooth Low Energy.
Abstract: the commercial market offers quite some time already personal electronic sports tools for control and
monitoring of physical workouts. With these units, body measures like movement speed, tread rates, and
heart rate are detected by tiny autonomous sensor units and their recordings are transmitted via RF for
further processing to a central handheld device. Since a while, also smartphone apps can be used as control
instance, if their ubiquitous host device supports one of the particular RF standards for coupling them to the
sports sensors. During the last decade, two competing wireless standards have evolved for this sensor air
link, which are called ANT+ and Bluetooth Low Energy. The key features of this remote communication
technology determine the usability within the various scenarios in personal sports, for instance the question
how many sensor devices can be operated closely to each other without interference. In this paper, the
specified and advertised properties are analysed on base of the definition of these RF standards, and they are
furthermore practically verified with experiments. In particular, measurements of power consumption are
shown for the two different RF systems, since life time of sensor battery has relevant impact on convenience
of daily use. Furthermore, practical observations of various spurious effects when using the two RF
standards are reported here, which seriously bring the reliability and accuracy of such commercial devices
into question.
1 INTRODUCTION
Aging societies and also overweight, which can be
nowadays observed often already for young
children, induce continuously increasing costs in
public healthcare. This kind of evolvement
especially applies to the developed countries
(Colagiuri et al., 2010). Accordingly, efforts are
gradually intensified for encouraging broader parts
of the citizenship to regularly perform more physical
activity (Valentín and Howard, 2013), because its
positive effect is known and verified already from
decades of scientific research (Wannamethee and
Shaper, 1992).
Addressing the application field of sports and
fitness tools, over a period of time a broader market
has evolved that supplies appropriate computerized
tools for this purpose. In particular, monitoring and
control of physical workouts can be performed on
base of sensing the activity situation and condition
of the human body, such as measuring heart rate,
body temperature, acceleration forces and movement
speed. Blood glucose level or blood pressure would
also be measurable by such commercialized devices,
but these are applied less commonly. In addition,
various sensors can be attached to sports machines
like cycloergometers for complementing the trace of
physical activity of sports people.
Such tools are also of interest for semi- and full-
professional sports, since the relation between the
easily measurable parameter of the heart rate and the
physical effort level has been verified already long
time ago in medicine (Hoppeler et al., 1985), and
later also in sports research (Arts and Kuipers,
1994). Certainly, heart rate monitors are the
overwhelmingly advertised commercial tool for
personal sports and fitness activities, but many
athletes complement this type of body sensor with
sensors for tread or stride rate and style for reaching
best sports performance.
Weghorn, H..
Usability and Engineering Aspects of Competing RF Technologies for Communication with Commercial Sports Sensors in Ubiquitous Applications - Experimental Comparison of Power
Consumption and Use Cases for ANT+ and Bluetooth Low Energy Sensor Devices.
In Proceedings of the 3rd International Congress on Sport Sciences Research and Technology Support (icSPORTS 2015), pages 263-270
ISBN: 978-989-758-159-5
Copyright
c
2015 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
263
Figure 1: Body sensors for tracing sports and fitness
activities. Upper left shows the circuit board of a footpod,
while the other three devices are heart rate sensors. A
works with the RF standard ANT+, while B and B+ are
using Bluetooth as printed on their plastics case.
The general construction concept of such
electronic toolsets for personal sports monitoring is,
that data is collected by autonomous body sensors
(Fig. 1), which transmit their measures to a central
control unit via any kind of near field RF link. As
typical control device a watch like computer is used
(Fig. 2), or other tiny constructions that can be either
worn easily by a sports person, or which can be
mounted on a sports apparatus like a bike or similar.
A blocking aspect is, that such control units work
with closed software systems, which can not be
easily modified or even replaced with any other
customized implementation. The situation is quite
similar to the first generations of mobile phones,
which also contained fixed operational software
systems.
Figure 2: Two commercial sports units and one Android
smart phone receiving the identical ANT+ signal from a
heart rate chest strap. The left most device is for bicycling,
the middle one is a Triathlon watch, and the smart phone
app was developed in a usability study on sports utilities.
Fortunately, some of the important vendors for
electronic sports devices agreed roughly a decade
ago with the so-called ANT+ system on a common
communication standard that shall provide seamless
interoperation (Dynastream Inc., 2011). Later, the
Bluetooth consortium also expanded its own
definitions towards the so-called Bluetooth Smart
standard (Bluetooth SIG, 2015), which stands for a
very low power consumption in the communicating
devices, and which makes it also feasible for the
battery cell operated sports sensors.
In former research, this opportunity was used to
investigate, how the user handling of the control
handheld can be made more convenient, in particular
for applications in semi-professional endurance
training (Weghorn, 2015.1). In the beginning of this
project, ANT+ had to be used for coupling the
sensors to the control software, which was realized
on Android smartphones (visible in Fig. 2).
Half a decade later Bluetooth LE experienced its
broad market introduction within the smart phone
segment. For a technological evaluation on software
engineering efforts for the two alternative systems
(Weghorn, 2015.2), a simplified heart rate monitor
for an Android smartphone was developed (Fig. 3).
Figure 3: Simplistic Bluetooth LE heart rate monitor
running on an Android smart phone. This was developed
earlier for exploring the software engineering process and
it was used in the experiments described here.
From this experience in developing heart rate
monitors and the observation with the sensor
systems using the two competing RF communication
standards, additional, new research questions arose,
because both RF consortia can be understood as
offering the "better" standard. One field of interest
are the possible use scenarios, where these sports
tools can be efficiently employed for best benefit of
workouts. This addresses personal use with one
single or with several sensors, as also the use within
a group of sports people. In this paper, these aspects
are discussed and the findings are complemented
with a helpful base of practical experiments. In
particular, during the many hours of experiments on
power consumption different spurious and critical
effects in the sensor operation have been detected. In
the end, this paper can report about features and
usability of commercial sports tool sets with special
scope on the two competing wireless standards for
sports sensors.
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2 ANALYSIS OF THE RF
SPECIFICATIONS
In a pre-investigation, the properties and features of
the two communication standards have been
analyzed already (Weghorn, 2015.2). According to
these, ANT+ works with a straight forward 32 bit
addressing concept for its nodes. Considering the
most typical sensor of a heart rate detector, this
device class broadcasts its measures automatically
after detecting source signal (what happens, when it
is attached properly to a human body via a chest
strap). Broadcast of sensor measures implies that the
information can be consumed by many devices in
parallel without mutual disturbance (Fig. 3).
This seamlessly maps to training cases like a
sports person using a sports apparatus, which is
connected to the personal heart rate sensors and at
the same time a recording to the personal device,
e.g. a smartphone, is running. Or even more, a coach
could easily surveil the activity of this sports person
remotely from another, additional control monitor.
In contradiction to that, Bluetooth LE follows in
its communication a master-slave principle. This
consequences, that the working of the sensor and the
RF link has to be initiated in a point-to-point
scheme, and the transferred information cannot be
consumed directly in parallel by other devices. A
parallel use of sensor information is not totally
excluded, but it would require that the control
device, which is talking to the sensor as master,
would have to register itself as a sensor slave for
other Bluetooth masters. In this sense, it needs to
work as repeater of the information to other so-
called micro network cells, which indeed can coexist
in Bluetooth. Of course, this will complicate the
programming design of the control device software
considerably, and the handling would be moreover
rather inconvenient, because a manual pairing
between two communication partners is mandatory
at least once for the operation of each of the parallel
Bluetooth link.
Another exercise scenario is monitoring a group
of people during, e.g., indoor cycling. With ANT+,
it would be possible to supervise the activities from
a central device that is handled by a coach, while
Bluetooth limits the number of nodes within a micro
cell to 8, so the central device could only trace 7
people in parallel, and also only if each sports
person is using just one single sensor (e.g. for wheel
turning speed, or effort level). Again software
constructions of setting up parallel micro cells could
solve the problem, but it will also increase the
construction efforts for the central unit.
Doubtlessly, the most common use in sports will
be a 1:1 scenario, where a sports person is using the
personal body sensors together with one control unit,
e.g. a smartphone, in a rather private environment.
Both RF standards, ANT+ same as Bluetooth LE,
are clearly capable of serving such a scenario, while
the elaborated use cases are only reasonably
functioning with ANT+.
Discussing further the specifications shows that
ANT+ and Bluetooth LE are both transmitting their
information via radio in the royalty-free ISM band.
Both cocnepts are aiming towards very low power
consumption, which is primarily reflected by a low
sending level of 1mW. That the sending strength is
identical for both standards can be seen from the
measured signal strength in experiments with the
two standards (Fig. 4 and Fig. 5).
Figure 4: RF measurement of the ANT+ transmission
frame of a heart rate sensor. The oscilloscope was set into
accumulating mode for this measurement, the time scale is
50μs per display square unit.
The bits are modulated with a the GFSK scheme
(Gaussian frequency shift keying) in both RF
systems. According to the protocol for addressing
and node identification in ANT+, the minimum
frame size is here 175μs, which was verified by a RF
measurement of the sending signal (Fig. 4). Since
the used heart rate sensors add extra information (in
particular one extra byte for battery voltage) on top
of the minimum sensor frame definition, the
observed frame length is here 190μs.
Surprisingly, the frame length of the Bluetooth
LE measurement didn't map directly to the specified
frame size of 650μs (Fig. 5). Analysis of the
measurement yielded that the sensor device
transmits two sub-frames for each of its measures,
which sum up to a total air time of only 350μs. This
Bluetooth LE behavior was recorded for an
established and working life connection between the
heart rate sensor and the control unit, while it was
Usability and Engineering Aspects of Competing RF Technologies for Communication with Commercial Sports Sensors in Ubiquitous
Applications - Experimental Comparison of Power Consumption and Use Cases for ANT+ and Bluetooth Low Energy Sensor Devices
265
observed that after loss of this connection the sensor
indeed used the nominal RF transmission frame
length of around 650μs.
Another effect will increase Bluetooth
consumption on air further: in case of channel
collisions, re-transmission is invoked in Bluetooth,
while ANT+ ignores any channel collisions. ANT+
uses one single carrier frequency out of a set for one
particular sensor and tries to avoid collisions by a
gradual shifting of the sending time frame. Since 2
16
nodes can co-exist in the available band locally, the
likelihood of true collisions is rather low, which is
unlike for Bluetooth. It can be expected that in an
environment, where many sports user and by that
many active Bluetooth micro cells co-exist in the
same RF visibility range, there arises an increase in
power-consumption and sometimes an irresolvable
interference due to the much lower count of possible
independent air links.
What can be concluded here already from the
standards is that ANT+ consumes approximately
half of the energy than Bluetooth LE within the plain
air transmission.
Figure 5: RF measurement for Bluetooth LE.
3 EXPERIMENTS ON TOTAL
POWER CONSUMPTION
In practice, measuring the lifetime of a tiny battery
cell faces different difficulties, especially for pulsed
devices with very low average consumption. A
direct measurement of supply current during use of
the sensors is impossible, because the measuring
equipment can not be worn during sports (even a
miniaturized, remote controlled ampere meter
wouldn't be feasible because of the restriction to
local use). Therefore, an indirect measurement cycle
was selected:
1. Measure the battery voltage
2. Use the sensor device actively for a defined
period of time
3. Measure battery voltage again and detect by that
the discharging amount
According to the experience on battery lifetime
from sports exercises that was collected over many
years with ANT+ sensors, a usage time of 1 hour
was estimated to produce on the one hand side a
measurable effect, while remaining on the other side
in almost linear region of the discharge curve (Varta
Microbattery Inc, 2015).
Specific experimental configuration and results
For this first experimental set, one ANT+ heart
rate sensor and one Bluetooth LE heart rate sensor
were used, which were both operated from a lithium
cell of the identical standard type CR2032. For this
experimental series, two fresh cells were manually
selected out of a bigger lot from the same quality
vendor for providing an identical free starting
voltage (3.243 Volts for both). The two cells are
named here and in the following sections X and Y.
For such lithium battery cells many data sheets
exist, which display their capacity in dependence of
various parameters like, e.g., discharge current and
temperature. Unfortunately, no information is
available about the capacity tolerance. Since the
cells produce their electrical supply by a chemical
reaction process, which is similar to the one in other
electronic parts like electrolyte capacitors, it can be
expected that also such battery cells do suffer from
similar considerable variations in the order of at
least several percent. The starting voltage, of course,
doesn't state anything about the precise capacity, and
the following concept was worked out for
compensate this error factor during the comparison
of the sensor consumptions: For the two sensors
from Fig. 1 called here A (ANT+ sensor) and B
(Bluetooth LE sensor), the batteries were used in
alternation according to a balancing time slot
scheme (Tab. 1).
Table 1: Swapping plan for battery cells X and Y while
measuring after each hour (= time slot) of use their
discharge voltage caused by the sensors A and B.
slot 1 2 3 4 5 6 7 8 9 10
X A B B A A B B A A B
Y B A A B B A A B B A
According to the battery data sheet it is supposed
to keep in this plan all discharge voltage differences
at linear scale. While performing light physical
exercises during the hours of sensor use, the
discharge voltages were determined for four cycles
only (Tab. 2). The sensors were attached during the
time slots to the same person, so that there was no
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possibility for systematic error influence by different
sensor loads. The reason for completing the
experiments with less cycles than in Tab. 1 was, that
there was already a conclusive difference visible
between sensors A and B with fewer runs.
Additionally, it has to be regarded that the
Bluetooth sensor B was sending measures at varying
and at lower frequency of at maximum 1.8
seconds/samples, while the ANT+ sensor A was
broadcasting its measures at a fixed rate of 0.5
seconds/sample.
Table 2: Trace of the voltages while gradually discharging
and swapping batteries between sensors. Obviously, one
sensor is unloading the batteries considerably faster than
the other.
battery X battery Y
Vx dVx/dt Vy dVy/dt
t = 0h 3.243V 3.243V
t = 1h 3.206V -37μV/h 3.158V -85μV/h
t = 2h 3.129V -77μV/h 3.148V -10μV/h
t = 3h 3.051V -78μV/h 3.122V -26μV/h
t = 4h 3.022V -29μV/h 3.065V -57μV/h
From the record of the discharging voltages in
Tab. 2, the total load for the two sensors can be
resolved by the battery cell use as listed in Tab. 1.
The total discharge load within the four hours of use
for the ANT+ sensor is calculated to:
V
Atot
= 37μV + 10μV + 26μV + 29μV = 102μV
And the calculation for the Bluetooth LE sensor
yields as total sum:
V
Btot
= 85μV + 77μV + 78μV + 57μV = 297μV
Intermediate synopsis of discharge experiments
From this collection of experiments various
intermediate results can be derived: First, the time
slots of 1 hour appear long enough for detecting the
discharging effects. Second, the two battery cells
behave differently, hence the assumption that the
batteries are varying in capacity is also validated.
Third, the discharging steps show, that the
measurements do have bold error bars, so the
precision of the measurements appears limited.
Despite the the experimental restriction, it is
systematically visible, that the ANT+ sensor
consumes less energy than the Bluetooth LE one.
Despite that the ANT+ sensor is working more than
three times faster, it requires approximately three
times less electrical energy in average.
The measurements have also shown that it is
rather difficult to obtain systematic and reproducible
results with these electro-chemical power sources.
When not in use and removed from the sensors, the
cells use to recover within hours and days, so stable
voltages and differences in the order of μVolts
couldn't be validated in longer terms. Therefore, two
more experiments were conducted, in which the
ANT+ sensor was used for several hours and
without removing the battery and giving a chance
for self-recovery of this battery. Accounting for all
three experimental runs, the average discharge rate
of the ANT+ sensor at a sample rate of two heart
rate measures per second was found being
dV
A
/dt = 18,83 μV/h ± 5,8μV/h
Estimation of total sensor battery lifetime
Under the assumption of a usable battery voltage
range from 3.3 Volts (fresh cell) down to 2.0 Volts
(cutoff limit for empty cell), a battery lifetime of
roughly full three days for the ANT+ sensor can be
estimated. The Bluetooth LE sensor will work only
for one single full day. All this is much behind the
advertisements of the consortia for these RF
standards, who advertise continuous work of sensors
for even several years with one single fresh battery.
It has to be stated that the Bluetooth LE
technology experienced its market introduction half
a decade latter than ANT+. The used Bluetooth LE
sensor B (Fig. 1) is one of the first generation that
was feasibly working with smartphones again of a
first device generation, which supported the
Bluetooth LE standard. On the other hand, the
description on the boxing wants to make suggest that
this is technology provides a long lifetime of sensor
battery, which is obviously misguiding.
Comparison of different product generations
At the end of the experiments, another Bluetooth
LE sensor was purchased (B+ in Fig. 1), which
stands for a recent product generation of a quality
vendor for electronic sports equipment. This sensor,
which shall be called B+ here, has got another type
of supply battery, therefore the discharging
experiments can not be applied in the same way like
described here, since a swap of batteries between the
sensors is impossible.
First investigations have shown that the
discharge rate ranges with approximately 28μV/h in
the similar order like the ANT+ sensor, so it is
considerably less than the Bluetooth LE sensor of
the first generation. Also the energy saving scheme
by automatic deactivation works reasonable for B+,
because it shuts the RF transmission down, when the
input signal is lost for more than 20 seconds. On the
other hand, it also comes also up with increased RF
Usability and Engineering Aspects of Competing RF Technologies for Communication with Commercial Sports Sensors in Ubiquitous
Applications - Experimental Comparison of Power Consumption and Use Cases for ANT+ and Bluetooth Low Energy Sensor Devices
267
activity, if no host Bluetooth connection is enabled,
or if such an air link is suddenly terminated despite
it was established and working before. The
construction of B+ suffers from a more bulky case
(20% thicker), 50% more mass, and this all despite a
smaller battery.
Summarizing the experimental findings here, it
can be stated that ANT+ appears as efficient as or
even better than Bluetooth LE, when targeting a
longer lifetime of sensor battery.
4 OBSERVATION OF SPURIOUS
SENSOR EFFECTS
Naturally, any body sensor for human activity has to
be operated under appropriate conditions before
reliable measurements can be expected. One base
requirement, of course, is sufficient power supply,
which implies for the sports sensors a battery that is
still sufficiently loaded and provides more than a
minimum, well defined supply voltage. For
acceleration sensors, the proper mounting, e.g. at a
running shoe, has to be ensured, for sensors
determining heart rate good and appropriately placed
electrical contacts to the human body are mandatory.
Observation of unpredictable distorted measures
During several years of practical use, various
problems have been observed many times, despite
such sensors were thoroughly attached and used.
Those disturbances couldn't be investigated, since
they arose unpredictably and intermediately only.
Suggestions for the reason may indeed be problems
with electrical contact quality, but also RF
interference from unknown other sources come into
question. With several, different ANT+ sensor
devices, spurious heart rate measures have been
recorded occasionally. Sometimes the disturbances
appeared only for a short period, sometimes some
kind of pattern could be interpreted into the data
(Weghorn, 2015.2).
The ANT+ sensors also produce wrong, much
too high measures, if battery life time is reaching its
end. Unfortunately, the sports computers do not
appropriately evaluate the battery information from
the ANT+ transmission package - an important
parameter that is a defined by standard - but the data
is processed further without any notification, also
disregarding that sometimes measurement values
appear even in a non-physiological range. Both
effects could be easily handled by adequate software
controls and algorithms; hence, the lack of such
mechanisms can be considered as serious deficiency,
which labels the commercial sports devices as not
elaborated to the state of technology and unreliable.
In Bluetooth there is not even a clear definition
for mandatory information about power supply
voltage of the sensor, and consequently such safety
checks are not necessarily available at all. This
represents also a clear defect in design of the
standard. Taking oscillograms of the RF packets
unveiled even further worse sensor effects.
Nonsensical replication of sensor data samples
First of all, from the users point of view, it can
be observed that sensors keep on repeating the last
measures, in situations were the sensors is have lost
their input signal. For instance in Bluetooth LE, a
heart rate sample is passed to the control software
through the communication instances, despite there
is no input signal any more for a very longer while.
The continuation of replicated values applies for
Bluetooth sensors as also for ANT+ sensors at least
for a shorter while - the minimum time for detecting
signals loss was in the experiments 20 seconds -
while an older Bluetooth LW sensor kept on sending
information packets for three hours and further on
(Weghorn, 2015.2).
In a side experiment on the behaviour of the
Bluetooth communication it turned out, that spurious
measures were further replicated even within the
control unit, despite the fact that the air link was out
of range. A simultaneous observation of the sensor
behaviour with the oscilloscope showed in this
experiment, that the sensor well was capable of
detecting the loss of connection, but the
communication protocol stack on the handheld
control unit kept on producing spurious values.
A further effect was found as another side
observation during the comparative evaluation of the
power consumption. The Bluetooth LE device
followed the ANT+ measurements by a short delay,
sometimes this delay increased to a several seconds.
In heart rate monitoring this kind of behaviour may
not be too critical, because variations of heart rate
are physiological in the order of seconds. If the same
effect occurs with sensors for wheel turning or stride
rate and style in running, swimming or other
activities, it wouldn't be acceptable, because it
distorts any possible analysis. Additionally, the
impression was that the two heart rate measurements
taken simultaneously from the identical person by
both RF systems often didn't match exactly, even
when there was no variation in activity. This
suggests another conclusion, namely that the
measures are imprecise in general. From the
experiments so far it can not be decided, which
sensor system has which error strength, this would
be a research point for further detail investigations.
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In summary, these observations lead to the
impression that the technology is not handling
sensor problems reasonably, it even more arises the
suspicion that the sensor concept intentionally hides
recording as also communication problems.
Summarizing quality assessment of sensor data
This all guides in sum to the judge that
information from sports sensors is delivered
unreliable and that the measures can be disturbed
unpredictably at any time. Even worse appears the
fact, that intelligent processing itself often can not
recognize faulty situations, and therefore it is not
possible to develop appropriate software intelligence
that is able to inform the sports user accordingly.
Such system behaviour may in the end also easily
lead to misinterpretation of workouts.
5 CRITICAL REFLECTION ON
ENGINEERING
The tool sample of heart rate monitoring, which was
used in the experiments here solely, represents just
one particular application in sports, but it can be
considered of being representative as a common and
typical one for the investigated low energy RF
communication standards. The reason is that heart
rate monitoring is based exactly on the same scheme
like for other common sensors like foot pods, pedal
tread rate sensors and speedometers for bicycles.
In this sense, its operational scenario reflects the
use of just one autonomously operating sensor,
which is broadcasting its measures along the time
axis. Advertisements in the low price class market
for electronic sports tools show that heart rate
monitoring is exactly what is offered mostly in an
extremely broad price range for the end products,
and it is also a feature for any more elaborated sports
watch or computer. Evidently, bringing this
functionality to all-world devices like smartphones
will support even more customers to use it.
Use cases and limitations in sports scenarios
Very typical is also the role for the heart rate
sensor as network node: either it serves as source in
a point-to-point link – one sensor and one sports
computer – or as point-to-multipoint – one sensor
broadcasting at the same time its information to
many consumer devices, e. g. simultaneously to a
personal smartphone, a sports machine and the
surveillance monitor of a coach. Both modes should
work automatically, even more a seamless transition
between these modes can be expected according to
the current state of technology.
This investigation clearly shows the limits of the
Bluetooth LE system in comparison to the ANT+
concept. In particular the power consumption
measurement also shows the better performance of
ANT+, but it has to be stated here, that this can be
also effect of an old device generation as the first
experiments with the newer sensor indicate.
In total, the discharge experiments may be too
critical, because the recovery behaviour of the
lithium battery cells was not studied and by that
regarded in very detail. Three days lifetime for a
new battery in an ANT+ sensor appears really low
and doesn't map many days and weeks of personal
use of such sensors in sports, which was not
scientifically investigated. At least, the findings can
be considered as reliable infimum for the battery
durability.
Overcoming the need for sensor batteries
Looking at modern and future development in
tiny electronics, the research question about battery
lifetime has to be challenged anyway. It is not
appropriate any more to use batteries at all in the
very low power sensors, instead super capacitors
should be the first choice as energy source in such
devices. From the consumption measurements it can
be derived that a capacity of 3mF per operational
hour would be required. The capacity of low voltage
gold capacitors range in the order of 100 times this
value at a lower price than for lithium battery cell,
but at a similar size. The super capacitor can be
loaded contactlessly through a magnetic field. Or in
case of the heart rate sensors even the body contacts
can be used for DC injection during charging. This
would make the use of the sensors more comfortable
also in mechanical sense, since the exchange of the
tiny batteries with even more tiny screws is often not
easily possible without special mechanical tools.
6 CONCLUSIONS
Two different RF standards are nowadays available
and commercialized for wirelessly binding body and
activity sensors in sports applications to handheld
control units. Especially the use of smart phones for
the latter purpose may make sports exercises to a
regular part of the weekly life cycle also for average
people. Doubtlessly, if such workouts are monitored
and controlled properly - that is, what could render
possible because of the broad availability of the
before described devices - there can arise positive
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Applications - Experimental Comparison of Power Consumption and Use Cases for ANT+ and Bluetooth Low Energy Sensor Devices
269
effects on the average health and fitness level for
broader parts of the citizenships.
In this study, the usability and reliability of
sensors working with the two competing RF linking
standards ANT+ and Bluetooth have been
investigated. The results are not strictly positive;
instead there arise many problems in daily operation.
First of all, the battery life time is much lower than
what is promised by the promoting consortia of the
two RF standards. An early hardware
implementation of a Bluetooth LE sensor appears
much worse than ANT+, while newer Bluetooth
sensors may reach similar operational times.
ANT+ is the standard of the two that is basically
parameterized for lower energy requirements on the
air link, but the consumption measurements have
shown that the leverage of the sensor electronics is
much higher than just the contribution for the RF
transmission. Even more energy is wasted, if the
sensor sleep mode is not controlled properly by its
own firmware. In particular, the older Bluetooth LE
sensor kept on being active for hours despite control
link and body contact were lost. As RF
measurements show, Bluetooth produces an
increased air activity - and by that a much increased
energy expenditure - when the host control
connection is lost or shut down.
Directly notable by the sports user appears the
network node design in both standards. While ANT+
allows a lot of nodes being operated close to each
other, and while it furthermore enables a seamless
interoperation of one sensor with many parallel
consuming devices, these features are not available
with Bluetooth LE. Hence, it can be expected that
there are many interferences, when Bluetooth LE
sensors are operated in gym studios or in bigger
sports events like, e.g., city runs. Even worse
appears the fact, that the sensors and display units
hide communication problems by simply replicating
the last valid sensor measure. This effect may occur
even for several hours despite the sensors are
detached from the body.
Also other spurious measures have been
observed from time to time in various use situations.
In addition, it was found that measures from
Bluetooth LE sensors were displayed considerably
delayed compared to ANT+ sensors. Accordingly
further research is planed in this context here, where
professional instruments - e.g. a wired medical ECG
recorder - will be used to evaluate the precision and
time-axes accuracy of the commercial body sensors
feasible for RF linking to smart phones.
Summarizing the current situation of an average
sports user, who is not a technical expert and who
wants to apply the available commercial tools for the
best control and benefit of physical workouts, it has
to be stated that no clear recommendation for one
particular system can be given. ANT+ seems to be
the technology that is better appropriate for versatile
and professional sports applications, while Bluetooth
LE experiences a much broader support due to the
compatibility to almost any new smart phone.
Further research on the sensor data will unveil,
whether the Bluetooth LE combination can be
considered as a professional sports tool or just as a
nice-to-have rough measuring indicator that gives
some inspiration for sports activity.
REFERENCES
Arts, F. J., Kuipers H., 1994. The relation between power
output, oxygen uptake and heart rate in male athletes.
Int. J. of Sports Medicine, Vol. 15, No. 5, pp228-
231.Moore, R., Lopes, J., 1999.
Bluetooth SIG, https://developer.bluetooth.org/Develop
mentResources/Pages/White-Papers.aspx, last access:
April 2015
Colagiuri, S., et al., 2010. The cost of overweight and
obesity in Australia. Med J Aust, 192, 5 (March 2010),
pp 260-264.
Dynastream Innovations Inc., 2011. ANT message
protocol and usage. Sourced from http://thisisant.com,
Rev. 4.5. (2011)
Hoppeler, H., Howald, H., Conley, K., Lindstedt, S. L.,
Claassen, H., Vock, P., Weibel, E. R., 1985.
Endurance training in humans: aerobic capacity and
structure of skeletal muscle. J. of Applied Physiology,
Vol. 59, No. 2, pp 320-327.
Weghorn, H., 2015.1. Application and UI Design for
Ergonomic Heart Rate Monitoring in Endurance
Sports: Realizing an Improved Tool for Health and
Sports Activities on Base of Android Smartphone
Programming and ANT+. In International Congress
icSPORTS 2013, revised selected papers, CCIS 464,
Springer Berlin, pp25-41. (2015)
Weghorn, H., 2015.2. Efforts in Developing Android
Smartphone Sports and Healthcare Apps based on
Bluetooth Low Energy and ANT+ Communication
Standards. In 15th International Conference on I4CS
2015 Innovations for Community Services,
Nuremberg, Germany, pp106-112. (July 2015)
Valentín, G., Howard, A. M., 2013. Dealing with
Childhood Obesity: Passive versus Active Activity
Monitoring Approaches for Engaging Individuals in
Exercise. In Proceedings BRC 2013 (Rio de Janeiro,
Brazil, February 2013).
Varta Microbattery Inc., 2015. Primary Lithium Cells,
Technical Handbook, sourced from http://www.varta-
microbattery.com, last access: August 2015
Wannamethee, G, Shaper, A. G., 1992. Physical activity
and stroke in British middle aged men. British Medical
Journal, 304 (March 1992), pp597-601.
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