Let’s talk about why you should NOT use stop and go surveys
There’s reasons for it and I’m going to show you the answers. Like all rules, if you know what you’re doing and you have a legitimate reason for using stop and go, then go ahead. But just realize there is a cost in data collection and they are inaccurate.
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Do Not Use Stop and Go Surveys
In today’s training video, we’re going to talk about
why you should not use stop and go surveys
in Ekahau
There’s reasons for it and
I’m going to show you the answers
Now of course, like all rules
if you know what you’re doing
and you have a legitimate reason
for using stop and go
then go ahead
But just realized the cost
in data collection and inaccuracy
Let’s just go jump right into Ekahau,
and first of all, we’re going to see is a not stop
and go
This was a continuous mode survey
We’re going to look at the data and see what’s collected
And then afterwards we’re going to come back
and do the same site, but with a stop and go
and then compare the data collected between the two
We’re now in a survey on an elementary school
that was conducted using a MacBook on a Segway
so you kind of going fast, as fast as you can go on it
and a Segway inside of a school
And let’s go and look detailed in to
what the data collected tells us
We’re looking for a couple of things
How far apart are the data collection saving points
Where are they with their distances
Because we know at some point Ekahau’s
going to have to take the data that was collected and
interpolate in between the data points
That’s how it makes the heat maps we’ll be looking at
So let’s zoom in here really close and see what’s going on
I’m going to zoom in on the screen
And we can see if we turn on survey tab
and then survey inspector tab
I’m going to hide this for a minute
Down below and just zoom in nice and close
And we can see there’s a green dot
the green dot is where we clicked
That’s the human clicked and said
here’s where I’m turning
Now remember the rules for continuous surveys
Click when you stop
Click when you start
Click when you turn
Yeah, and walk a straight lines
so every time you are going to a stop, start or turn,
you’re going to drop a data collection point
You’re telling the software I am here
and then the software is going to calculate
all the other data points along the way
in between the ones you do
So if you walk at a constant rate
and you click every time you turn and you walk in
straight lines, the software is going to
line them out right where they are
So come in here, look a little closer
There’s one right here where I clicked and then
the other one’s on here are when the software did
its data collection on the sidekick, there’s two NIC
so each of them gets a slightly different colored
when their saved
And let’s see how far apart those are
So on average here, if I switch over to the ruler tab
I can say, well, I had one here and
one here
You click and drag it up
An old man eyes put glasses on
That’s about four meters between this one and that one
It’s about four and a half meters over here
three and a half over here, three point four
It take a couple over on this side
Here’s a really long one that got all the way out
to seven meters, some in the middle or really close
some over here about three meters apart
So even though we’re allowing the software
to drop those data points
we’re collecting the data fast enough
And this by the way is collecting on all channels
If we wanted these to be closer together
we would collect only on the channels that we care about
in this building that would make it go a little faster
which would mean they’d be a little closer
So now let’s look at the data that was actually collected
We know these are collected close together
three to four meters
maybe on a worst case, we’ve got about seven
But you know over here where we had a seven
there was one between here and here
that only was a two
So, yeah, we haven’t, they’re very close together
Now, let’s look with survey inspector and see what we got
At this data point right here
this individual data point
I’m going to go and make the bottom look a little bigger
so we can focus on
but realized each data point
it’s going to turn blue up above
but since I only have a single screen to show you
I’m going to kind of minimize that
let you see what’s collecting
Over on the left we see we’re collecting all the APs
we have to meet in 5 gigahertz
This is a 5 gigahertz APs that are being collected
and they’re coming up and down
The horizontal axis is time
Every time we move and collect data
it’s time driven
Below that is the 5 gigahertz spectrum
Now one of these
frequencies is going to look stronger than others
And that’s
that’s an artifact of being in an active mode survey
because the NIC that was in the MacBook
while we were surveying was associated to an
access point and sending data
So the spectrum analyzer there was on the side kick
that was fairly close
would see that signals being much
stronger because they were very far apart
So realized that this isn’t interference
It’s an artifact of the active survey
And then at the very bottom
down here we can see the active survey and the ping times
that were being collected during that active survey
The top bar is going to say the Mac address of the AP
were associated to the bottom green bars
are showing the ping times
The upper part is showing our SoSci from each of
the individual APs we’re collecting
And then on the right side, in the center is the
spectrum analyzer view and currently I have it set
to not show
Actually, it is showing a real time sweeps
so let me turn that off
we don’t need to see the sweep
If we happen to hit an interferer
we’ll pop it up on the screen
I’m looking at the Max Density Color
That’s how it’s currently configured
as well as showing the APs
The AP information coming from over here
comes from the Wi-Fi NIC inside the sidekick
the spectrum analyzer is showing the parts inside
So the little box comes from Wi-Fi
The colors underneath come from spec end
And now let’s walk through as I’m walking
and because I did a continuous mode survey
I can just go step, step, step and walk
through the entire day
It took an hour to walk, I can replay the entire hour
and you see as I’m replaying the hour
stepping forward, there was an AP that was strong
that was the one I was associated to showing up here
on the spectrum analyzer, a couple of other ones show up
because they’re close and they have traffic on them
I can see all of the signals coming up and down
And as you’d think, as you’re walking
one AP is going to climb, as you’re getting closer to it
as you go away from it’s going to lower
another one’s going to climb
And we can see that, in this little section up over here
That’s what happens when you have
a continuous mode survey
we’re collecting all the data
you can see over in the RTFM section, the Mac address
all the information from all the APs
if you hover, you can also even see some more detailed
information that we decoded from beacons
So this is continuous mode survey
It was done with, on a Segway fairly fast
actually really fast
And still our data points are three, four meters apart
Now let’s go over and switch surveys
and this time we’re going to look at what we capture
walking in the same area, in the same place
but this time we’ll be using a stop
and go survey instead
We’re back and now we have the stop and go survey data
Same school, same equipment, same sidekick
The only difference is what we’re going to be doing
is collecting the data in a different manner
A lot of people like stop and go survey
because it feels like you’re in control
You go someplace, you stop, you click the button
you wait five seconds, it collects all the data from all
the channels twice, and then it stops and
then you move on and you do it again
That’s true, it does that
and it also fixes a problem that we have seen in the past
if you have a very slow, say you’re only having one
data collection and we click in one place
and then you walk, walk, walk, walk, walk, click
all the data saved between those two
get saved at the next point
So there is kind of a shifting of
the actual data you collected over to the next data point
Now, if those only two, three, four meters apart
I can live with that little shift
more than I can live with the lack of data
I hate losing data being on site, collecting data
and throwing away
And that’s what stop and go surveys do
they collect data only
when you’re standing still
all of that data you collect
I mean, it’s coming into the sidekick
the NICs are listening
they hear all the beacons
they’re pulling all the data in and then stop and go says
yeah, throw it away
Let’s look and see what happens
So here we can see
I’m going to do the same thing I did before
Let’s zoom in really close and we don’t see the lines
in between where we’re walking
We obviously walked in between those locations
but we didn’t save where it was
One benefit, it doesn’t look like you walk through walls
Well, if you click properly in a continuous
you can’t walk through walls because we know
it’s humanly impossible
So your continuous mode survey shouldn’t ever look like
you walk through a wall if you click correctly
Here’s a little data point right here
Stood at the corner of that intersection
collecting collected data
Let’s go and look at what that collected data looks like
We can go to that same little spot and click
Now just like before, I’m going to
extend the bottom so we have a little more detail
But you understand, as we’re stepping through
point to point to point
we’ll now be jumping from each of those locations
I want to be in 5 gig and I’m in the survey mode data
and here we go and I can walk back and forth in time
just like we did before
Oh, but look at right there
I’m collecting data for the five seconds
but what happened in between?
I said we threw it all away
and yes Ekahau did throw all the RSSI data away
Guess what
The spectrum analyzer kept running the entire time
the active survey kept running the entire time
so we did collect that set of data
What we threw away was the data
was happening in between
Another downside of stop and go survey
as you go, stop, go, stop, go, stop, go
right click, save, that saved one group
of stop and go’s together
They’re not tied contiguously back together
like we do in a continuous mode survey
I could right click and save and save and save and save
through a building and then come back
with survey inspector and see the whole
continuous mode working together
I can easily save that way
Here, it’s in little groups so I can walk and say
Oh over this period of time
Oh there I saw some
Oh yeah
Then they went away
Well you can see in the spectrum analyzer
they didn’t go away
You can see right here it’s there, over in the RTFM
the Real-Time Frequency Monitor
We could see the data was coming in from the device
The active survey is running
We just threw all this data away so that we could
stop right here and collect better data
Pretty obvious what’s going on
We’re collecting the data and then throwing it away
Let’s take another look
Let’s go back up here for a second
And let’s find another data point
And there’s another set of information here
you can see as I go along
Here there is a long stretch over here as you look
there’s a long stretch where there was no stop and go’s
But obviously I collected data
In fact, if you zoom in way down here you can see
you even roamed and the roaming took place during
the walk in between the stop and go data
that might have been useful information to have
Yeah. So let’s get rid of this for a second and come back
and say here’s our big stop and go survey
It took a lot longer to do all the stops and go’s
because you have to stop
Wait, wait, wait, wait five seconds
Move, stop, compared to a continuous where you can
collect more data faster, closer together
Let’s see how far apart these are
using the same method I used before
From here to here
That’s 7 meters from here to here, 6.2 from here to here
10 meters from here to here, 8 meters from here to here.
9 meters, 6, 4, 4
On average, we’re collecting way less data points
and throwing the data away that’s in between
and it took longer
Spectrum analyzer collected all the spectrum data
all the way through
Active survey including roams was collected
all the way through
Stop and Go survey though
you felt like you were in control
because you didn’t want to walk and
click properly and follow the rules
click when you start, click when you stop
click when you turn
And you ended up with less data
if you have a legitimate need for stop and go
go ahead and use it
what’s not a legitimate need is
well I don’t want to click as I go into a room because
I have to go
Yeah just click when you stop.
click when you start, click when you turn
And you can keep all the data being collected
as you’re going along
Thanks for listening
We have a lot more training modules, videos, podcast
videos from all the WLPC out on
wlanprofessionals.com or wlanpros.com
Thanks for being part of the community
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